---
title: "Best Mistral Models for OpenClaw (2026): Large vs Devstral vs Ministral"
description: "Mistral's lineup is tight: one flagship (Large 2512), one coding specialist (Devstral), and three Ministral small models. Cheap, European, good at multilingual — here's how to pick."
date: 2026-04-17
location: San Francisco, CA – Apr 17th, 2026
image: /images/best-mistral-models-for-openclaw-hero.jpg
keywords: "openclaw mistral, best mistral model for openclaw, mistral large 2512 openclaw, devstral openclaw, ministral openclaw, mistral ai api, mistral openclaw pricing"
faq:
  - question: "What is the best Mistral model for OpenClaw?"
    answer: "Mistral Large 2512 is the default for general coding — $0.50/M input, $1.50/M output, 262K context. For coding-specific work, Devstral 2512 is tuned specifically for code and comes in at $0.40/M input. For lightweight tasks, Ministral 8B at $0.15/M input is remarkably capable for its size."
  - question: "How much does it cost to use Mistral with OpenClaw?"
    answer: "Mistral is cheaper than OpenAI or Anthropic but not as aggressively priced as DeepSeek or GLM. Ministral 3B starts at $0.10/M, Ministral 14B at $0.20/M, Devstral at $0.40/M, and Mistral Large 2512 at $0.50/M. Output costs are typically 1.5-5x the input cost. Older Large variants (2407, 2411) are priced at $2/M — not worth it when 2512 exists at a quarter the price."
  - question: "How do I set up Mistral in OpenClaw?"
    answer: "Add Mistral as a provider in ~/.openclaw/openclaw.json with baseUrl 'https://api.mistral.ai/v1' and your Mistral API key (or route through haimaker with baseUrl 'https://api.haimaker.ai/v1'). Add the model you want to agents.defaults.models and run 'openclaw gateway config.apply'."
---

Mistral's API lineup is more focused than OpenAI's or Anthropic's. As of April 2026, you have one flagship, one coding specialist, and three small models — plus some legacy variants you should skip. That's it.

Short version: **Mistral Large 2512 for general coding, Devstral for code-heavy agentic work, Ministral 8B for budget tasks.** Everything older than the 2512 generation is priced at old-tier rates and isn't worth using.

## The quick answer

| Model | Input/Output Cost | Context | Best For |
|---|---|---|---|
| **Mistral Large 2512** | $0.50 / $1.50 | 262K | Default for general work |
| **Devstral 2512** | $0.40 / $2.00 | 262K | Coding-focused agents |
| **Ministral 14B 2512** | $0.20 / $0.20 | 262K | Budget Mistral |
| **Ministral 8B 2512** | $0.15 / $0.15 | 262K | Tiny fast tasks |
| **Ministral 3B 2512** | $0.10 / $0.10 | 131K | Edge deployment |
| Mistral Large 2407 / 2411 | $2 / $6 | 128K | Legacy — use 2512 |
| Mistral Small 3.1/3.2 | $0.08–$0.35 | — | Legacy — use Ministral |

Start with **Mistral Large 2512** for general coding. Swap to **Devstral** if your OpenClaw workflow leans agentic (long tool-calling chains, write-test-iterate loops).

## Mistral Large 2512 — the default pick

$0.50/M input, $1.50/M output, 262K context, function calling and vision. 2512 is Mistral's flagship as of the December 2025 release, and it's priced at roughly a quarter of the old Large 2407 tier.

262K context is the headline feature — competitive with GLM and DeepSeek, more than you get from GPT-5 Mini at this price point. Tool calling is reliable; Mistral put real engineering into the function-calling stack for the 2512 generation and it shows. Arguments are well-formed, fields are respected.

Where Mistral Large lands relative to alternatives at $0.50/M:

- vs **DeepSeek V3.2** ($0.28/$0.40) — Mistral is pricier on input and output, but more reliable. DeepSeek's API throws 503s during peak hours; Mistral mostly doesn't.
- vs **GLM-4.7** ($0.39/$1.75) — similar tier. GLM is slightly cheaper and has roughly equivalent coding quality. Mistral wins on European compliance story and multilingual support (French, German, Italian, Spanish are notably stronger).
- vs **Gemini 2.5 Flash** ($0.30/$2.50) — Mistral is cheaper on output, Gemini is cheaper on input. Pick based on workload shape.

If you're building for a European market or have multilingual requirements, Mistral Large 2512 is a genuinely strong default.

## Devstral 2512 — the coding specialist

$0.40/M input, $2.00/M output, 262K context, function calling. Devstral is Mistral's coding-tuned variant, positioned for OpenClaw's core use case.

Devstral is cheaper than Large on input but more expensive on output. The bet is that coding agents generate a lot of output tokens (writing files, producing diffs, explaining reasoning) so the output-heavy pricing matters. If your OpenClaw usage is read-heavy (analyzing code, asking questions), stick with Large. If you're writing code, Devstral is typically cheaper end-to-end.

On coding benchmarks, Devstral outperforms Large on SWE-bench-style tasks but underperforms on general reasoning. That's the specialization trade-off — it's a coding model, not a generalist.

Devstral's tool-calling reliability is the best in the Mistral lineup. For multi-step OpenClaw agent runs where the model chains tools autonomously, Devstral holds up better than Large does.

## Ministral 8B 2512 — the budget pick

$0.15/M input, $0.15/M output (same price both directions), 262K context. Ministral 8B is the sweet spot of the Ministral small-model line.

At this price, Ministral 8B is competitive with DeepSeek V3 and GLM-4.7 Flash on simple tasks:

- File classification and triage
- Commit message generation
- Mechanical refactors
- Documentation generation

Don't ask Ministral 8B to reason. Don't give it complex tool chains. For what it is — a tiny, fast, cheap model — it punches above its weight.

## Ministral 14B 2512 and 3B 2512

**Ministral 14B** ($0.20/$0.20, 262K context) is larger and more capable than 8B for a small price bump. If you're running 8B and hitting its quality ceiling, 14B is the obvious upgrade before jumping to Large.

**Ministral 3B** ($0.10/$0.10, 131K context) is positioned for edge deployment — it fits in small VRAM budgets and runs fast on consumer hardware via Ollama. For cloud OpenClaw use, 8B is almost always better per dollar. 3B's real home is on-device.

## Legacy variants — skip

**Mistral Large 2407 and 2411** ($2/$6). These are the pre-2512 Large models. Mistral priced them at the old tier and hasn't dropped the API endpoints. There's no scenario where these are the right pick over 2512 at $0.50/$1.50.

**Mistral Small 3.1 and 3.2** ($0.08–$0.35). These predate the Ministral line. Context windows are unclear (OpenRouter reports null on some). Use Ministral 8B or 14B instead.

**Mixtral 8x22B** ($2/$6). The old Mixture-of-Experts flagship. Was the state of the art in 2024. There's no active reason to run it in 2026 — Mistral Large 2512 is better on every axis at a quarter the price.

## Setup in OpenClaw

Mistral isn't a built-in provider. Two routes.

#### Running through haimaker.ai

All Mistral models are available through [haimaker.ai](https://app.haimaker.ai):

```json
{
  "models": {
    "providers": {
      "haimaker": {
        "baseUrl": "https://api.haimaker.ai/v1",
        "apiKey": "your-haimaker-api-key",
        "api": "openai-completions"
      }
    }
  }
}
```

Add the models to your allowlist:

```json
{
  "agents": {
    "defaults": {
      "models": {
        "mistralai/mistral-large-2512": {},
        "mistralai/devstral-2512": {},
        "mistralai/ministral-8b-2512": {}
      }
    }
  }
}
```

Apply with `openclaw gateway config.apply`.

Prefer not to hand-assemble all that? `npx -y @haimaker/connect --openclaw` writes the haimaker provider and the Mistral allowlist in a single pass — append `--model mistralai/mistral-large-2512` to default to the flagship. See the [connect setup notes](/connect).

#### Direct Mistral setup

Sign up at [console.mistral.ai](https://console.mistral.ai):

```json
{
  "models": {
    "providers": {
      "mistral": {
        "baseUrl": "https://api.mistral.ai/v1",
        "apiKey": "your-mistral-api-key",
        "api": "openai-completions"
      }
    }
  }
}
```

## What I'd do

Default to **Mistral Large 2512** unless you have a specific reason to pick something else. If your OpenClaw workflow is heavy on agent loops and code generation, swap to **Devstral 2512**. For bulk tasks where quality matters less than cost, **Ministral 8B** is a legitimate choice.

Mistral isn't the cheapest option (DeepSeek and GLM are cheaper) and isn't the highest-quality (Claude and GPT-5 are stronger on hard reasoning). Where it wins is the combination: decent quality, European data residency story, strong multilingual support, reliable API. For teams that need to stay in the EU for compliance reasons, that combination is valuable.

Pair with a flagship (Sonnet 4.6, GPT-5.4) for the hard problems Mistral can't solve.

<a href="https://app.haimaker.ai/sign-up?utm_source=family_roundup&utm_medium=cta&utm_campaign=openclaw_mistral" class="cta-button">TRY MISTRAL ON HAIMAKER</a>

---

*For API key setup, see the [OpenClaw API key guide](/blog/openclaw-api-key-setup). For a full model comparison, see the [complete models guide](/blog/best-models-for-openclaw).*