Claude Opus 4.7 vs Mistral Small 3
Claude Opus 4.7 leads Mistral Small 3 on the Artificial Analysis Intelligence Index, 40.7 to 6.7, and Mistral Small 3 costs 312.5x less per output token ($0.08 vs $25.00 per million). Updated October 21, 2026; 32 benchmarks have a result for both.
Claude Opus 4.7 or Mistral Small 3: which to pick
Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; Mistral Small 3 has none, so the two cannot be ranked on coding.
Pick Mistral Small 3 for output tokens 312.5x cheaper ($0.08 vs $25.00 per million).
- Shared results
- 32
- Claude Opus 4.7 only
- 71
- Mistral Small 3 only
- 4
- Like-for-like categories
- 7 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 6.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Opus 4.7 has a AA Agentic Index result, 38.6.
Directional only
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 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Small 3
Claude Opus 4.7 $0.018, Mistral Small 3 $0.0001 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Opus 4.7 has the number, $2.95.
Directional only
At a glance
- Coding index
- Claude Opus 4.7 67.5 from 4 benchmarks, Mistral Small 3 not benchmarked.
- Widest category
- Agentic work, 69.0 points apart on average over 1 shared benchmark.
- Widest single gap
- Long context reasoning (AA-LCR): Claude Opus 4.7 78.7% against Mistral Small 3 0.0%, 78.7 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.7 $25.00 against Mistral Small 3 $0.08 per million output tokens, 312.5x apart.
- Context window
- Claude Opus 4.7 takes 1M tokens, Mistral Small 3 33K.
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 | Mistral Small 3 | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 17 | 0 | ||
| All shared boards | 32 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Claude Opus 4.7 | Mistral Small 3 | Leader |
|---|---|---|---|
| LMArena WebDev | 1558 | Not measured | Only Claude Opus 4.7 measured |
| AA Coding Index | 73.6 | Not measured | Only Claude Opus 4.7 measured |
| LiveCodeBench (Vals AI) | 85.1% | Not measured | Only Claude Opus 4.7 measured |
| SWE-bench Verified (Vals AI) | 82.0% | Not measured | Only Claude Opus 4.7 measured |
| 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 |
| LiveCodeBench (Artificial Analysis run) | Not measured | 25.2% | Only Mistral Small 3 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 | 1246 | Claude Opus 4.7 |
| LMArena Text: software and IT | 1516 | 1248 | Claude Opus 4.7 |
| 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 | Mistral Small 3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 40.7 | 6.7 | 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 | Mistral Small 3 | Leader |
|---|---|---|---|
| AA Agentic Index | 38.6 | Not measured | Only Claude Opus 4.7 measured |
| 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% | 19.6% | Claude Opus 4.7 |
| 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 | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Claude Opus 4.7 | Mistral Small 3 | 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% | 46.2% | Claude Opus 4.7 |
| Humanity's Last Exam (Artificial Analysis run) | 42.3% | 3.8% | Claude Opus 4.7 |
| 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 | 1233 | Claude Opus 4.7 |
| LMArena Text: expert | 1521 | 1202 | Claude Opus 4.7 |
| LMArena Text: hard prompts in English | 1508 | 1243 | Claude Opus 4.7 |
| 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 | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Opus 4.7 | Mistral Small 3 | Leader |
|---|---|---|---|
| AIME | 96.3% | Not measured | Only Claude Opus 4.7 measured |
| AA Math Index | Not measured | 4.3 | Only Mistral Small 3 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 4.3% | Only Mistral Small 3 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 | 1240 | Claude Opus 4.7 |
| LMArena Text: mathematical work | 1509 | 1243 | Claude Opus 4.7 |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Opus 4.7 | Mistral Small 3 | 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 |
| MMLU Pro (Artificial Analysis run) | Not measured | 65.2% | Only Mistral Small 3 measured |
| SimpleQA Verified | 51.7% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: science | 1508 | 1235 | Claude Opus 4.7 |
| LMArena Text: medicine and healthcare | 1495 | 1215 | Claude Opus 4.7 |
| LMArena Text: legal and government | 1504 | 1219 | Claude Opus 4.7 |
| LMArena Text: business and finance | 1490 | 1205 | Claude Opus 4.7 |
| FACTS Benchmark Suite | 45.5% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 4 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.7 | Mistral Small 3 | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
| Benchmark | Claude Opus 4.7 | Mistral Small 3 | 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% | 26.4% | Claude Opus 4.7 |
| Long context reasoning (AA-LCR) | 78.7% | 0.0% | Claude Opus 4.7 |
| 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 | 1234 | Claude Opus 4.7 |
| LMArena Text: instruction following | 1498 | 1214 | Claude Opus 4.7 |
| LMArena Text: creative writing | 1486 | 1194 | Claude Opus 4.7 |
| LMArena Vision | 1317 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: English | 1496 | 1256 | Claude Opus 4.7 |
| LMArena Text: non-English | 1480 | 1198 | Claude Opus 4.7 |
| LMArena Text: Chinese | 1531 | 1204 | Claude Opus 4.7 |
| LMArena Text: German | 1495 | 1211 | Claude Opus 4.7 |
| LMArena Text: Japanese | 1474 | 1111 | Claude Opus 4.7 |
| LMArena Text: Korean | 1464 | 1188 | Claude Opus 4.7 |
| LMArena Text: French | 1503 | 1204 | Claude Opus 4.7 |
| LMArena Text: Spanish | 1494 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: Russian | 1494 | 1216 | Claude Opus 4.7 |
| LMArena Text: Polish | 1489 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: multi-turn | 1505 | 1217 | Claude Opus 4.7 |
| LMArena Text: longer queries | 1505 | 1246 | Claude Opus 4.7 |
| LMArena Text: writing and language | 1492 | 1214 | Claude Opus 4.7 |
| LMArena Text: entertainment and media | 1474 | 1184 | Claude Opus 4.7 |
| 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 | Mistral Small 3 | 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
Mistral Small 3 costs less
Repository review
50K input + 3K output tokens
Mistral Small 3 costs less
Agent loop
200K input + 10K output tokens
Mistral Small 3 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 Small 3 |
|---|---|---|
| Maker | Anthropic | Mistral AI |
| Weights | No public weights listed | Open weights |
| Released | April 16, 2026 | January 30, 2025 |
| Context window | 1M | 33K |
| Input $/Mtok | $5.00 | $0.05 |
| Output $/Mtok | $25.00 | $0.08 |
| Coding index | 67.5 | Not benchmarked |
| Independent measurements behind it | 4 | 0 |
| Cost per solved task | $2.95 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.7 better than Mistral Small 3 for coding?
Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; Mistral Small 3 has none, so the two cannot be ranked on coding. Pick Mistral Small 3 for output tokens 312.5x cheaper ($0.08 vs $25.00 per million).
Which is cheaper, Claude Opus 4.7 or Mistral Small 3?
Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Mistral Small 3 costs $0.05 and $0.08. Cost per solved task is known for Claude Opus 4.7 only.
Which has the bigger context window, Claude Opus 4.7 or Mistral Small 3?
Claude Opus 4.7, with 1M tokens against 33K.
How many benchmarks is the Claude Opus 4.7 vs Mistral Small 3 comparison based on?
32 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and Mistral Small 3's on 0. Where only one model has a result, the page says so instead of naming a winner.