Models / Devstral 2 2512
Mistral
Devstral 2 2512
56th most intelligent of the 68 models priced $0.25–1 per million tokens. Among models available today, in the bottom quarter for reasoning and knowledge.
- Price per million tokens
- $0.40 in · $2.00 out
Typical host on OpenRouter, 7 Oct 2026 · compare prices - Speed
- Not measured
- Intelligence Index
- 8.6
Artificial Analysis - Spring Prompt overall
- Not ranked yet
needs our benchmarks and two groups of results - Developer
- Mistral, based in France
Weights published - Released
- Not recorded
262,144 tokens of context
Where it stands among the models you could choose
Ranked only among models available today (those you can call through OpenRouter), in the groups people choose between: the same price band, similar intelligence, the same speed, developers based in the same place, open weights. Retired models are left out.
| Among | Intelligence Index | Spring Prompt overall | Price | Speed |
|---|---|---|---|---|
| Models available today | 153rd of 195Claude Opus 5.5 | – | 112th of 221Mistral Nemo | – |
| Models priced $0.25–1 per million tokens | 56th of 68MiMo-V2.6-Pro | – | the group | – |
| Models with similar intelligence | the group | – | 57th of 69Llama 3.1 8B Instruct | – |
| Models from developers based in the EUall Mistral's | 7th of 15Mistral Large 4 | – | 10th of 16Mistral Nemo | – |
| Open-weights modelsincluding 1 with weights announced but not yet published | 76th of 108MiMo-V2.6-Pro | – | 85th of 117Mistral Nemo | – |
The name under each rank is the leader of that group. Price is the developer's list price (or the typical OpenRouter host where we haven't read one) for three input tokens to one output; intelligence and speed are from Artificial Analysis (data sourced from Artificial Analysis); "similar intelligence" means within 4 points on its Intelligence Index. Developer locations are where each company is based, not where a model is served. Groups under 3 models are not ranked.
How good is it, and for what?
Each use case ranks the available models its benchmarks measured, then those priced $0.25–1 per million tokens. The bar shows where it falls in that field, best to the right. Open a row for the results behind it.
Product listingsTurning a sparse product feed and photos into listings that can go live
- CatalogBench: has not measured this model.
Decks from an analysisTurning a finished analysis into a deck you could present as it is
- DeckBench: has not measured this model.
Marketing planningPlanning a year of ad spend without overspending
- ROASBench: has not measured this model.
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls
| Benchmark | Devstral 2 2512 | Rank among available | Best available |
|---|---|---|---|
| Artificial AnalysisArtificial Analysis: Terminal-Bench 4.0 · reported | 0.0% | 58th of 102 | Claude Sonnet 5.5 63.6% |
| Artificial AnalysisArtificial Analysis: Terminal-Bench 2.1 · reported | 30.3% | 74th of 113 | Claude Fable 5.1 91.4% |
| Artificial AnalysisArtificial Analysis: τ-bench banking · reported | 10.5% | 67th of 110 | Grok 4.6 50.7% |
- tau2-bench: has not measured this model.
- Berkeley Function Calling Leaderboard (BFCL) V4: has not measured this model.
- OpenHands Index: has not measured this model.
- Microsoft STATE-Bench: has not measured this model.
- Vending-Bench 2: has not measured this model.
Professional workReal tasks from banking, consulting and law, business documents and freelance projects
- APEX-Agents: has not measured this model.
- GDP.pdf: has not measured this model.
- Remote Labor Index: has not measured this model.
Reasoning and knowledgeHard questions across science, maths and general knowledge
| Benchmark | Devstral 2 2512 | Rank among available | Best available |
|---|---|---|---|
| Artificial AnalysisArtificial Analysis: Artificial Analysis Intelligence Index · reported | 8.60 | 153rd of 195 | Claude Opus 5.5 57.6 |
| Artificial AnalysisArtificial Analysis: Humanity's Last Exam · reported | 3.6% | 185th of 194 | Claude Opus 5.5 61.4% |
| Artificial AnalysisArtificial Analysis: GPQA Diamond · reported | 59.4% | 148th of 185 | GPT-6 Astra 96.3% |
WritingWhat people prefer in blind comparisons, and judged writing quality
- Arena (formerly LMArena): has not measured this model.
- UGI Leaderboard: has not measured this model.
Sticking to the factsSummarising without inventing things, and factual answers
- Vectara Hallucination Leaderboard: has not measured this model.
- Arena (formerly LMArena): has not measured this model.
- SimpleQA Verified (Epoch AI): has not measured this model.
Speed under pressureGood decisions against a real clock (fast chess)
- BulletBench: has not measured this model.
Against the alternatives
The models you would most likely weigh it against: the leaders of the groups above.
| Devstral 2 2512 | MiMo-V2.6-Pro most intelligent at $0.25–1 per million tokens | Llama 3.1 8B Instruct cheapest with similar intelligence | Claude Opus 5.5 most intelligent available today | Mistral Large 4 most intelligent from the EU | |
|---|---|---|---|---|---|
| Price per million tokens | $0.80 | $0.54 | $0.06 | $8.00 | $1.03 |
| Tokens a second | – | 40 | – | 97 | 106 |
| Intelligence Index | 8.6 | 46.3 | 6.9 | 57.6 | 38.4 |
| Spring Prompt overall | – | – | – | 82 | 31 |
| Rank among available models, by use case | |||||
| Product listings | – | – | – | 6th | 17th |
| Decks from an analysis | – | – | – | 5th | 18th |
| Marketing planning | – | – | – | 5th | 10th |
| Agents and tool use | 104th of 161 | 15th | 154th | 2nd | 20th |
| Professional work | – | – | – | 3rd | – |
| Reasoning and knowledge | 161st of 195 | 10th | 173rd | 1st | 43rd |
| Writing | – | 18th | 178th | 4th | – |
| Sticking to the facts | – | 9th | – | 6th | – |
| Speed under pressure | – | – | – | – | 13th |
Shaded figures are better than Devstral 2 2512's. A dash means no result.
Where it has been measured
- Artificial Analysis12 results
- BulletBenchNot measured
- CatalogBenchNot measured
- DeckBenchNot measured
- ROASBenchNot measured
- APEX-AgentsNot measured
- Arena (formerly LMArena)Not measured
- Berkeley Function Calling Leaderboard (BFCL) V4Not measured
- GDP.pdfNot measured
- Microsoft STATE-BenchNot measured
- OpenHands IndexNot measured
- Remote Labor IndexNot measured
- SimpleQA Verified (Epoch AI)Not measured
- tau2-benchNot measured
- UGI LeaderboardNot measured
- Vectara Hallucination LeaderboardNot measured
- Vending-Bench 2Not measured
Every result
12 published results from 1 source, each in the source's own units, with the configuration that produced it.
Artificial Analysis · reported by Artificial Analysis · 12 results
| Measure | Value | Rank | Configuration | Dated |
|---|---|---|---|---|
| Artificial Analysis: Artificial Analysis Coding Indexindex score, higher is better | 31.3 | 134 of 188 | Devstral 2 2512 | 7 Oct 2026 |
| Artificial Analysis: Artificial Analysis Intelligence Indexindex score, higher is better | 8.60 | 333 of 402 | Devstral 2 2512 | 7 Oct 2026 |
| Artificial Analysis: GPQA Diamond% of questions, higher is better | 59.4% | 294 of 359 | Devstral 2 2512 | 7 Oct 2026 |
| Artificial Analysis: Humanity's Last Exam% of questions, higher is better | 3.6% | 382 of 400 | Devstral 2 2512 | 7 Oct 2026 |
| Artificial Analysis: IFBench% of instructions, higher is better | 38.1% | 217 of 288 | Devstral 2 2512 | 7 Oct 2026 |
| Artificial Analysis: Long-context reasoning (AA-LCR)% of questions, higher is better | 32.3% | 314 of 388 | Devstral 2 2512 | 7 Oct 2026 |
| Artificial Analysis: SciCode% of problems, higher is better | 32.8% | 168 of 186 | Devstral 2 2512 | 7 Oct 2026 |
| Artificial Analysis: Terminal-Bench 2.1% of tasks, higher is better | 30.3% | 132 of 187 | Devstral 2 2512 | 7 Oct 2026 |
| Artificial Analysis: Terminal-Bench 4.0% of tasks, higher is better | 0.0% | 132 of 182 | Devstral 2 2512 | 7 Oct 2026 |
| Artificial Analysis: Terminal-Bench Hard% of tasks, higher is better | 18.9% | 150 of 282 | Devstral 2 2512 | 7 Oct 2026 |
| Artificial Analysis: τ-bench banking% of tasks, higher is better | 10.5% | 121 of 175 | Devstral 2 2512 | 7 Oct 2026 |
| Artificial Analysis: τ²-bench telecom% of tasks, higher is better | 24.9% | 236 of 286 | Devstral 2 2512 | 7 Oct 2026 |
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