Claude Opus 4.7 vs Devstral 2 2512
Claude Opus 4.7 leads Devstral 2 2512 on the Artificial Analysis Intelligence Index, 40.7 to 8.6, and Devstral 2 2512 costs 12.5x less per output token ($2.00 vs $25.00 per million). Updated October 22, 2026; 5 benchmarks have a result for both.
Claude Opus 4.7 or Devstral 2 2512: which to pick
Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; Devstral 2 2512 has none, so the two cannot be ranked on coding.
Pick Devstral 2 2512 for output tokens 12.5x cheaper ($2.00 vs $25.00 per million) and a lower cost per solved task ($1.19 against $2.95).
- Shared results
- 5
- Claude Opus 4.7 only
- 98
- Devstral 2 2512 only
- 1
- Like-for-like categories
- 3 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Claude Opus 4.7 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Claude Opus 4.7
Claude Opus 4.7 leads, 40.7 against 8.6.
Same board, both measured
Agentic work
AA Agentic Index
Claude Opus 4.7
Claude Opus 4.7 leads, 38.6 against 2.3.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.7 has a GPQA Diamond result, 90.2%.
Directional only
Math
AIME
No call
Only Claude Opus 4.7 has a AIME result, 96.3%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.7 has a MMLU Pro result, 89.9%.
Directional only
Long documents
Listed context window
Claude Opus 4.7
Claude Opus 4.7 takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Devstral 2 2512
Claude Opus 4.7 $0.018, Devstral 2 2512 $0.0014 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Devstral 2 2512
Claude Opus 4.7 $2.95, Devstral 2 2512 $1.19.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Opus 4.7 67.5 from 4 benchmarks, Devstral 2 2512 not benchmarked.
- Widest category
- Agentic work, 36.3 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Coding Index: Claude Opus 4.7 73.6 against Devstral 2 2512 31.3, 42.3 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.7 $25.00 against Devstral 2 2512 $2.00 per million output tokens, 12.5x apart.
- Context window
- Claude Opus 4.7 takes 1M tokens, Devstral 2 2512 262K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Claude Opus 4.7 | Bars | Devstral 2 2512 | Ties |
|---|---|---|---|---|
| Coding | 3 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| All shared boards | 5 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
| Benchmark | Claude Opus 4.7 | Devstral 2 2512 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 53.8% | Only Devstral 2 2512 measured |
| LMArena WebDev | 1558 | Not measured | Only Claude Opus 4.7 measured |
| AA Coding Index | 73.6 | 31.3 | Claude Opus 4.7 |
| LiveCodeBench (Vals AI) | 85.1% | 51.8% | Claude Opus 4.7 |
| SWE-bench Verified (Vals AI) | 82.0% | 62.8% | Claude Opus 4.7 |
| Vibe Code Bench (Vals AI) | 71.0% | Not measured | Only Claude Opus 4.7 measured |
| Code migration (Vals AI) | 43.9% | Not measured | Only Claude Opus 4.7 measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Claude Opus 4.7 measured |
| Terminal-Bench 2.1 (Vals AI) | 68.5% | Not measured | Only Claude Opus 4.7 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 54.5% | Not measured | Only Claude Opus 4.7 measured |
| Terminal-Bench | 80.2% | Not measured | Only Claude Opus 4.7 measured |
| FrontierCode | 38.5% | Not measured | Only Claude Opus 4.7 measured |
| GSO-Bench | 44.1% | Not measured | Only Claude Opus 4.7 measured |
| WeirdML | 76.4% | Not measured | Only Claude Opus 4.7 measured |
| MirrorCode | 31.1% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: coding | 1519 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: software and IT | 1516 | Not measured | Only Claude Opus 4.7 measured |
| LMArena WebDev: React | 1560 | Not measured | Only Claude Opus 4.7 measured |
| LMArena WebDev: HTML | 1554 | Not measured | Only Claude Opus 4.7 measured |
| LMArena WebDev: from an image | 1577 | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Opus 4.7 | Devstral 2 2512 | Leader |
|---|---|---|---|
| AA Intelligence Index | 40.7 | 8.6 | Claude Opus 4.7 |
| Epoch Capabilities Index | 156.8 | Not measured | Only Claude Opus 4.7 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Opus 4.7 | Devstral 2 2512 | Leader |
|---|---|---|---|
| AA Agentic Index | 38.6 | 2.3 | Claude Opus 4.7 |
| Finance Agent (Vals AI) | 51.5% | Not measured | Only Claude Opus 4.7 measured |
| Tax Agent Bench (Vals AI) | 23.7% | Not measured | Only Claude Opus 4.7 measured |
| Legal Research Bench (Vals AI) | 38.5% | Not measured | Only Claude Opus 4.7 measured |
| Excel Modeling Benchmark (Vals AI) | 63.7% | Not measured | Only Claude Opus 4.7 measured |
| τ²-Bench Telecom | 88.6% | Not measured | Only Claude Opus 4.7 measured |
| APEX-Agents | 49.2% | Not measured | Only Claude Opus 4.7 measured |
| OSWorld 2.0 | 18.2% | Not measured | Only Claude Opus 4.7 measured |
| PostTrainBench | 28.6% | Not measured | Only Claude Opus 4.7 measured |
| Vending-Bench 2 | $10,937 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Search | 1230 | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
| Benchmark | Claude Opus 4.7 | Devstral 2 2512 | Leader |
|---|---|---|---|
| GPQA Diamond | 90.2% | Not measured | Only Claude Opus 4.7 measured |
| MMMU Pro (Vals AI) | 85.5% | Not measured | Only Claude Opus 4.7 measured |
| GPQA Diamond (Artificial Analysis run) | 91.4% | Not measured | Only Claude Opus 4.7 measured |
| Humanity's Last Exam (Artificial Analysis run) | 42.3% | Not measured | Only Claude Opus 4.7 measured |
| GPQA Diamond (Epoch AI run) | 90.2% | Not measured | Only Claude Opus 4.7 measured |
| ARC-AGI | 93.5% | Not measured | Only Claude Opus 4.7 measured |
| ARC-AGI-2 | 75.8% | Not measured | Only Claude Opus 4.7 measured |
| SimpleBench | 61.7% | Not measured | Only Claude Opus 4.7 measured |
| Chess puzzles | 41.0% | Not measured | Only Claude Opus 4.7 measured |
| Mystery game puzzles | 28.0% | Not measured | Only Claude Opus 4.7 measured |
| EBR-bench | 19.0% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: hard prompts | 1506 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: expert | 1521 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: hard prompts in English | 1508 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: diagrams | 1336 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: homework | 1337 | Not measured | Only Claude Opus 4.7 measured |
| Kagi LLM Benchmark | 80.7% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 5 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Claude Opus 4.7 | Devstral 2 2512 | Leader |
|---|---|---|---|
| AIME | 96.3% | Not measured | Only Claude Opus 4.7 measured |
| OTIS Mock AIME | 97.8% | Not measured | Only Claude Opus 4.7 measured |
| FrontierMath, tiers 1 to 3 | 70.2% | Not measured | Only Claude Opus 4.7 measured |
| FrontierMath, tier 4 | 31.7% | Not measured | Only Claude Opus 4.7 measured |
| ProofBench | 54.0% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: math | 1498 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: mathematical work | 1509 | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 6 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
| Benchmark | Claude Opus 4.7 | Devstral 2 2512 | Leader |
|---|---|---|---|
| MMLU Pro | 89.9% | Not measured | Only Claude Opus 4.7 measured |
| LegalBench (Vals AI) | 85.3% | Not measured | Only Claude Opus 4.7 measured |
| CaseLaw (Vals AI) | 68.4% | Not measured | Only Claude Opus 4.7 measured |
| CorpFin (Vals AI) | 66.1% | Not measured | Only Claude Opus 4.7 measured |
| TaxEval (Vals AI) | 75.3% | Not measured | Only Claude Opus 4.7 measured |
| MortgageTax (Vals AI) | 70.3% | Not measured | Only Claude Opus 4.7 measured |
| MedCode (Vals AI) | 54.9% | Not measured | Only Claude Opus 4.7 measured |
| SimpleQA Verified | 51.7% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: science | 1508 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: medicine and healthcare | 1495 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: legal and government | 1504 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: business and finance | 1490 | Not measured | Only Claude Opus 4.7 measured |
| FACTS Benchmark Suite | 45.5% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 5 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.7 | Devstral 2 2512 | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index34 boards, none shared
| Benchmark | Claude Opus 4.7 | Devstral 2 2512 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 56.1% | Not measured | Only Claude Opus 4.7 measured |
| MedScribe (Vals AI) | 83.0% | Not measured | Only Claude Opus 4.7 measured |
| Vals Multimodal Index | 67.4% | Not measured | Only Claude Opus 4.7 measured |
| IFBench | 58.6% | Not measured | Only Claude Opus 4.7 measured |
| Long context reasoning (AA-LCR) | 78.7% | Not measured | Only Claude Opus 4.7 measured |
| DTBench | 94.7% | Not measured | Only Claude Opus 4.7 measured |
| LMCA | 52.2% | Not measured | Only Claude Opus 4.7 measured |
| Furniture assembly | 33.3% | Not measured | Only Claude Opus 4.7 measured |
| ExploitBench | 26.5% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text | 1490 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: instruction following | 1498 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: creative writing | 1486 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision | 1317 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: English | 1496 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: non-English | 1480 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: Chinese | 1531 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: German | 1495 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: Japanese | 1474 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: Korean | 1464 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: French | 1503 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: Spanish | 1494 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: Russian | 1494 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: Polish | 1489 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: multi-turn | 1505 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: longer queries | 1505 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: writing and language | 1492 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: entertainment and media | 1474 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: English | 1322 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: Chinese | 1371 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: reading text | 1327 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: humor | 1309 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: recognizing things | 1278 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: creative writing | 1326 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Document | 1495 | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.7 | Devstral 2 2512 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Devstral 2 2512 costs less
Repository review
50K input + 3K output tokens
Devstral 2 2512 costs less
Agent loop
200K input + 10K output tokens
Devstral 2 2512 costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Anthropic Claude Opus 4.7 | Mistral Devstral 2 2512 |
|---|---|---|
| Maker | Anthropic | Mistral AI |
| Weights | No public weights listed | Open weights |
| Released | April 16, 2026 | December 9, 2025 |
| Context window | 1M | 262K |
| Input $/Mtok | $5.00 | $0.40 |
| Output $/Mtok | $25.00 | $2.00 |
| Coding index | 67.5 | Not benchmarked |
| Independent measurements behind it | 4 | 1 |
| Cost per solved task | $2.95 | $1.19 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.7 better than Devstral 2 2512 for coding?
Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; Devstral 2 2512 has none, so the two cannot be ranked on coding. Pick Devstral 2 2512 for output tokens 12.5x cheaper ($2.00 vs $25.00 per million) and a lower cost per solved task ($1.19 against $2.95).
Which is cheaper, Claude Opus 4.7 or Devstral 2 2512?
Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Devstral 2 2512 costs $0.40 and $2.00. Per solved SWE-bench Verified task, Claude Opus 4.7 costs $2.95 and Devstral 2 2512 $1.19.
Which has the bigger context window, Claude Opus 4.7 or Devstral 2 2512?
Claude Opus 4.7, with 1M tokens against 262K.
How many benchmarks is the Claude Opus 4.7 vs Devstral 2 2512 comparison based on?
5 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and Devstral 2 2512's on 1. Where only one model has a result, the page says so instead of naming a winner.