---
title: "Devstral Small 2 | Ethical Stack"
url: https://ethicalstack.ai/models/devstral-small-2/
catalog_version: f6baff2119d0e9158520da7fbe4232011dac79f25bd08757436d7a1dbd593db2
---

# Devstral Small 2

24B Apache 2.0 coding model for codebase exploration, multi-file edits and software-agent tool use, with 256k context and image input.

Canonical profile: https://ethicalstack.ai/models/devstral-small-2/

Scope: Devstral Small 2 24B Instruct 2512 weights; Mistral Labs API identifier labs-devstral-small-2512 is a separate experimental hosted route.

Published overall: 3.2; 5/6 dimensions rated.

Round the equal-weight mean of available numerical ratings to one decimal; require at least four of six for an overall score. BDS status stays outside the mean; for eligible profiles, a boycott target caps the final score at 2/10 and a pressure target subtracts one point (minimum 1). Not listed and not checked do not adjust the score.

## Energy practices

Finding: 3/10

Assessment: https://ethicalstack.ai/models/devstral-small-2/#energy

This grades disclosed operating practices, not the electricity or emissions of a particular generation.

Reason: 1 + 1 reporting + 0 electricity + 1 controls = 3/10. This grades documented practices and transparency.

Argument: The release gives limited runtime or control details but no comparable per-task footprint or electricity-source evidence. The model card lists a 24B checkpoint and local hardware examples, defining a disclosed inference boundary. Mistral recommends setting a shorter max model length and supports lower-precision local inference; the guide does not quantify energy saved.

Type: argument; confidence: medium

Scope (dimension): Devstral Small 2 24B Instruct 2512 weights; Mistral Labs API identifier labs-devstral-small-2512 is a separate experimental hosted route.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Per-task energy, serving region, facility electricity mix, water and independent footprint review are not established in the cited release sources.

```json
{
  "method": "practices-transparency-v1",
  "scope": "Devstral Small 2 24B Instruct 2512 weights; Mistral Labs API identifier labs-devstral-small-2512 is a separate experimental hosted route.",
  "components": {
    "disclosure": {
      "score": 1,
      "reason": "The model card lists a 24B checkpoint and local hardware examples, defining a disclosed inference boundary.",
      "sourceUrls": [
        "https://huggingface.co/mistralai/Devstral-Small-2-24B-Instruct-2512",
        "https://docs.mistral.ai/vibe/code/cli/offline-models",
        "https://docs.mistral.ai/inference/labs",
        "https://docs.mistral.ai/vibe/code/overview",
        "https://legal.mistral.ai/terms/privacy-policy/"
      ]
    },
    "electricity": {
      "score": 0,
      "reason": "The release materials do not report matched regional electricity sourcing or carbon-free supply for training or inference.",
      "sourceUrls": [
        "https://huggingface.co/mistralai/Devstral-Small-2-24B-Instruct-2512",
        "https://docs.mistral.ai/vibe/code/cli/offline-models",
        "https://docs.mistral.ai/inference/labs",
        "https://docs.mistral.ai/vibe/code/overview",
        "https://legal.mistral.ai/terms/privacy-policy/"
      ]
    },
    "demand": {
      "score": 1,
      "reason": "Mistral recommends setting a shorter max model length and supports lower-precision local inference; the guide does not quantify energy saved.",
      "sourceUrls": [
        "https://huggingface.co/mistralai/Devstral-Small-2-24B-Instruct-2512",
        "https://docs.mistral.ai/vibe/code/cli/offline-models",
        "https://docs.mistral.ai/inference/labs",
        "https://docs.mistral.ai/vibe/code/overview",
        "https://legal.mistral.ai/terms/privacy-policy/"
      ]
    }
  },
  "actualImpactMeasured": false
}
```

- [Devstral Small 2 official model card](https://huggingface.co/mistralai/Devstral-Small-2-24B-Instruct-2512) (primary; checked 2026-10-24)

- [Mistral offline-model deployment documentation](https://docs.mistral.ai/vibe/code/cli/offline-models) (primary; checked 2026-10-24)

- [Mistral Labs lifecycle notice](https://docs.mistral.ai/inference/labs) (primary; checked 2026-10-24)

- [Mistral Vibe Code overview and approvals](https://docs.mistral.ai/vibe/code/overview) (primary; checked 2026-10-24)

- [Mistral privacy policy](https://legal.mistral.ai/terms/privacy-policy/) (primary; checked 2026-10-24)

## Training data

Finding: 1/10

Assessment: https://ethicalstack.ai/models/devstral-small-2/#training-rights

The model release does not provide a complete inspectable training-source permission record.

Reason: 1 base + 0 source transparency + 0 documented permission + 0 creator controls = 1/10.

Argument: The reviewed release documentation the release card documents the code-focused model and license but no corpus sources or permission basis. It provides no source-level permission ledger or creator remedy; a model-weight license governs downstream use, not the material used to train the model.

Type: argument; confidence: medium

Scope (profile): Devstral Small 2 24B Instruct 2512 weights; Mistral Labs API identifier labs-devstral-small-2512 is a separate experimental hosted route.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Named source inventory, source-level licenses, creator remedies, and independent verification remain unestablished for this release.

```json
{
  "method": "training-rights-evidence-v1",
  "scope": "The stated training release or selected model",
  "components": {
    "provenance": {
      "score": 0,
      "reason": "The release card documents the code-focused model and license but no corpus sources or permission basis.",
      "sourceUrls": [
        "https://huggingface.co/mistralai/Devstral-Small-2-24B-Instruct-2512",
        "https://docs.mistral.ai/vibe/code/cli/offline-models",
        "https://docs.mistral.ai/inference/labs",
        "https://docs.mistral.ai/vibe/code/overview",
        "https://legal.mistral.ai/terms/privacy-policy/"
      ]
    },
    "permissions": {
      "score": 0,
      "reason": "The release sources do not publish a training-source permission basis or rights ledger; the weight license does not establish training-data permission.",
      "sourceUrls": [
        "https://huggingface.co/mistralai/Devstral-Small-2-24B-Instruct-2512",
        "https://docs.mistral.ai/vibe/code/cli/offline-models",
        "https://docs.mistral.ai/inference/labs",
        "https://docs.mistral.ai/vibe/code/overview",
        "https://legal.mistral.ai/terms/privacy-policy/"
      ]
    },
    "creatorControls": {
      "score": 0,
      "reason": "No training-source creator permission-before-use, opt-out, removal or retraining route is documented for this release.",
      "sourceUrls": [
        "https://huggingface.co/mistralai/Devstral-Small-2-24B-Instruct-2512",
        "https://docs.mistral.ai/vibe/code/cli/offline-models",
        "https://docs.mistral.ai/inference/labs",
        "https://docs.mistral.ai/vibe/code/overview",
        "https://legal.mistral.ai/terms/privacy-policy/"
      ]
    }
  },
  "routeDependency": null,
  "modelReference": null
}
```

- [Devstral Small 2 official model card](https://huggingface.co/mistralai/Devstral-Small-2-24B-Instruct-2512) (primary; checked 2026-10-24)

- [Mistral offline-model deployment documentation](https://docs.mistral.ai/vibe/code/cli/offline-models) (primary; checked 2026-10-24)

- [Mistral Labs lifecycle notice](https://docs.mistral.ai/inference/labs) (primary; checked 2026-10-24)

- [Mistral Vibe Code overview and approvals](https://docs.mistral.ai/vibe/code/overview) (primary; checked 2026-10-24)

- [Mistral privacy policy](https://legal.mistral.ai/terms/privacy-policy/) (primary; checked 2026-10-24)

## Your data & privacy

Finding: Not enough evidence

Assessment: https://ethicalstack.ai/models/devstral-small-2/#privacy

Privacy has no single score for these downloadable weights because handling depends on the inference host and integrations.

Reason: Depends on selected inference host; no single prompt-handling route applies to the weights.

Argument: The release can be run locally, but it also appears in hosted provider routes; those operators set their own request retention, training and region terms. A cloud API, where offered, is a separate policy route and is not inherited from the local weights.

Type: argument; confidence: high

Scope (dimension): Devstral Small 2 24B Instruct 2512 weights; Mistral Labs API identifier labs-devstral-small-2512 is a separate experimental hosted route.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: A selected host, network path, telemetry, logging, external prompt enhancement, and data retention need route-specific review.

- [Devstral Small 2 official model card](https://huggingface.co/mistralai/Devstral-Small-2-24B-Instruct-2512) (primary; checked 2026-10-24)

- [Mistral offline-model deployment documentation](https://docs.mistral.ai/vibe/code/cli/offline-models) (primary; checked 2026-10-24)

- [Mistral Labs lifecycle notice](https://docs.mistral.ai/inference/labs) (primary; checked 2026-10-24)

- [Mistral Vibe Code overview and approvals](https://docs.mistral.ai/vibe/code/overview) (primary; checked 2026-10-24)

- [Mistral privacy policy](https://legal.mistral.ai/terms/privacy-policy/) (primary; checked 2026-10-24)

## Openness

Finding: 7/10

Assessment: https://ethicalstack.ai/models/devstral-small-2/#openness

Apache 2.0 weights and local inference examples are public; the full training corpus and recipe are not.

Reason: 7/10 reflects open weights and reproducible inference, with no full training recipe or source inventory.

Argument: The model card includes weights, Apache 2.0 terms and implementation examples for local model serving, but not enough to reproduce the training run. This rating concerns release artifacts and reproducibility, not training-data permission.

Type: argument; confidence: medium

Scope (profile): Devstral Small 2 24B Instruct 2512 weights; Mistral Labs API identifier labs-devstral-small-2512 is a separate experimental hosted route.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Training data sources, full training recipe and dataset rights are not disclosed for Devstral Small 2.

- [Devstral Small 2 official model card](https://huggingface.co/mistralai/Devstral-Small-2-24B-Instruct-2512) (primary; checked 2026-10-24)

- [Mistral offline-model deployment documentation](https://docs.mistral.ai/vibe/code/cli/offline-models) (primary; checked 2026-10-24)

- [Mistral Labs lifecycle notice](https://docs.mistral.ai/inference/labs) (primary; checked 2026-10-24)

- [Mistral Vibe Code overview and approvals](https://docs.mistral.ai/vibe/code/overview) (primary; checked 2026-10-24)

- [Mistral privacy policy](https://legal.mistral.ai/terms/privacy-policy/) (primary; checked 2026-10-24)

## Worker protections

Finding: 2/10

Assessment: https://ethicalstack.ai/models/devstral-small-2/#labour

Mistral publicly says its supplier code applies to goods and services and its Trust Center shows contractors acknowledge a code, but labor-specific provisions and outcomes were not publicly inspectable.

Reason: 1 + 1 pay & conditions + 0 worker voice & remedy + 0 evidence & follow-through = 2/10. This grades documented worker safeguards, not a measured rate of mistreatment.

Argument: Mistral’s August 2026 help page states that its Code of Conduct sets standards suppliers are expected to follow for Mistral business and all supplier goods/services; the Trust Center lists contractor acknowledgment of the Code of Conduct. The public interface did not expose the code’s labor clauses or worker procedures, and no worker survey, audit, pay/conditions disclosure or remediation results were located. This supports limited credit for a supplier-code commitment only. This entry carries the same developer/operator finding to Devstral Small 2; it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: low

Scope (dimension): Mistral AI: the documented developer/operator record, not proof of deployment of Devstral Small 2.

Research reviewed: 2026-10-24; evidence date: not recorded

Unknowns: The supplier code’s detailed labor language and coverage of AI data workers, grievance route, monitoring and outcomes were not accessible from the public Trust Center.

```json
{
  "method": "worker-safeguards-evidence-v1",
  "entity": "mistral",
  "company": "Mistral AI",
  "scope": "Mistral AI's workforce and disclosed contractors. Coverage of individual product teams may be incomplete.",
  "components": {
    "conditions": {
      "score": 1,
      "reason": "A supplier code is a stated business requirement, but its labor content and implementation were not publicly inspectable in this review.",
      "sourceUrls": [
        "https://help.mistral.ai/en/articles/347637-do-you-have-a-code-of-conduct",
        "https://trust.mistral.ai/"
      ]
    },
    "voice": {
      "score": 0,
      "reason": "No public worker-specific voice or grievance mechanism was established in the accessible sources.",
      "sourceUrls": [
        "https://help.mistral.ai/en/articles/347637-do-you-have-a-code-of-conduct",
        "https://trust.mistral.ai/"
      ]
    },
    "assurance": {
      "score": 0,
      "reason": "The Trust Center shows contractor code acknowledgment but no labor-specific audits, remediation or outcomes.",
      "sourceUrls": [
        "https://help.mistral.ai/en/articles/347637-do-you-have-a-code-of-conduct",
        "https://trust.mistral.ai/"
      ]
    }
  },
  "disclosureLimited": true,
  "meaning": "This grades documented worker safeguards, not a measured rate of mistreatment."
}
```

- [Do you have a Code of Conduct?](https://help.mistral.ai/en/articles/347637-do-you-have-a-code-of-conduct) (primary; checked 2026-10-24)

- [Mistral AI Trust Center](https://trust.mistral.ai/) (primary; checked 2026-10-24)

## Military ties

Finding: 3/10

Assessment: https://ethicalstack.ai/models/devstral-small-2/#military-contracts

Mistral AI publicly partners with defense AI company Helsing on joint development of vision-language-action models, and its current company page says it serves defense customers. A separate Airbus agreement includes military aerospace applications; specific Mistral model deployments in weapons systems are not established.

Reason: 1 + 0 use restrictions + 0 enforcement & oversight + 2 relationship disclosure = 3/10. Known defense ties lower this rating; safeguards can improve it within the relationship’s cap.

Argument: Mistral's announcement with Helsing describes joint development of next-generation AI systems for European defense, while Helsing's announcement links its military AI portfolio to Ukraine-deployed strike drones and fighter electronic-warfare capabilities. Mistral also identifies defense as a customer sector and Airbus says the partnership includes military aerospace applications. This is broad defense enablement, capped at 3/10; no binding weapons/surveillance prohibitions or military-use oversight outcomes are public in these sources. This entry carries the same developer/operator finding to Devstral Small 2; it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: medium

Scope (dimension): Mistral AI: the documented developer/operator record, not proof of deployment of Devstral Small 2.

Research reviewed: 2026-10-24; evidence date: not recorded

Unknowns: The sources do not establish which Mistral models, if any, are deployed in specific military systems, the operational purpose or safeguards, contract restrictions, or independent oversight. Helsing's existing strike systems are not evidence that Mistral models themselves control or target weapons.

```json
{
  "method": "military-ties-priority-v2",
  "entity": "mistral",
  "company": "Mistral AI",
  "scope": "Mistral AI's relationships and safeguards. A company relationship does not identify every product or release used.",
  "components": {
    "restrictions": {
      "score": 0,
      "reason": "The reviewed public partnership and company materials do not disclose binding restrictions on weapons, harmful surveillance, or military-intelligence use.",
      "sourceUrls": [
        "https://helsing.ai/newsroom/helsing-and-mistral-announce-strategic-partnership-in-defence-ai",
        "https://mistral.ai/about/"
      ]
    },
    "oversight": {
      "score": 0,
      "reason": "No public military-specific review, enforcement mechanism, or independent outcome assessment was identified in the reviewed partnership materials.",
      "sourceUrls": [
        "https://helsing.ai/newsroom/helsing-and-mistral-announce-strategic-partnership-in-defence-ai",
        "https://mistral.ai/about/"
      ]
    },
    "transparency": {
      "score": 2,
      "reason": "Mistral and its partners identify the defense relationships and intended applications, including VLA model development and military aerospace, though no model-level deployment details or outcomes are disclosed.",
      "sourceUrls": [
        "https://helsing.ai/newsroom/helsing-and-mistral-announce-strategic-partnership-in-defence-ai",
        "https://www.airbus.com/en/newsroom/press-releases/2026-05-airbus-partners-with-mistral-ai-to-strengthen-the-use-of-artificial-intelligence-in-sovereign"
      ]
    }
  },
  "relationship": "broad-defense",
  "relationshipReason": "Mistral publicly confirms joint defense-AI development and military-aerospace partnerships, but no source establishes its model in actual targeting or combat intelligence use.",
  "score": 3,
  "baseScore": 1,
  "safeguardPoints": 2,
  "safeguardAdjustment": 2,
  "rawScore": 3,
  "cap": 3,
  "disclosureLimited": true,
  "meaning": "Known military relationships take priority over missing safeguards. The rating does not establish the probability of an undisclosed contract."
}
```

- [Helsing and Mistral announce strategic partnership in defence AI](https://helsing.ai/newsroom/helsing-and-mistral-announce-strategic-partnership-in-defence-ai) (primary; checked 2026-10-24)

- [About Mistral](https://mistral.ai/about/) (primary; checked 2026-10-24)

- [Airbus and Mistral AI partner for AI in aerospace](https://www.airbus.com/en/newsroom/press-releases/2026-05-airbus-partners-with-mistral-ai-to-strengthen-the-use-of-artificial-intelligence-in-sovereign) (primary; checked 2026-10-24)

## BDS targets

Finding: Not listed

Assessment: https://ethicalstack.ai/models/devstral-small-2/#israel-palestine

We did not find Mistral AI among the named targets in the two official BNC campaign lists checked on 2026-10-23. This is a limited list check, not BDS approval.

Reason: BDS campaign status is a factual category, not a 1–10 ethical rating.

Argument: Mistral AI is not a named target in the checked lists, but BDS uses selective campaigns, so absence cannot establish a clean record. Running downloaded weights locally is a different decision from paying the developer or a cloud host; check the host as well. This entry carries the same developer/operator finding to Devstral Small 2; it does not establish that this product was deployed under every cited relationship.

Type: evidence; confidence: medium

Scope (dimension): Mistral AI: the documented developer/operator record, not proof of deployment of Devstral Small 2.

Research reviewed: 2026-10-23; evidence date: not recorded

Unknowns: This review covers the named targets in the BNC consumer/pressure guide and No Tech campaign, not every BDS campaign, local group, investment or supplier. Lists and ownership can change. A company’s absence from these lists is not an endorsement or proof that it has no relevant relationships.

- [BNC: live guide to consumer boycott and pressure targets](https://bdsmovement.net/Guide-to-BDS-Boycott) (campaign; checked 2026-10-23)

- [BNC: No Tech for Oppression, Apartheid or Genocide campaign](https://bdsmovement.net/no-tech-oppression-apartheid-or-genocide) (campaign; checked 2026-10-23)

## Reading the evidence

- Assessments are provisional editorial judgments. Cite the profile and the underlying sources, and retain confidence, scope and unknowns.

- Unknown, not-applicable and model-dependent are different states. Missing evidence does not establish good or bad conduct.

- Company-level evidence does not establish use of a particular product or model. Account plan, model, host and route can change an assessment.

- Energy scores describe documented practices and transparency, not measured request emissions. Zero component points can mean an evidence gap.

- Published overall scores require at least four of six numerical dimensions. Preserve coverage and BDS adjustments; BDS itself is categorical.

- No named BDS target found is limited to the reviewed campaign sources and is not approval. Personalized priorities do not change the published overall score.

- Review and source-check dates describe the research, not this deployment. Fetch current primary sources when the decision requires current verification.

Methodology: https://ethicalstack.ai/methodology/