Claude Haiku 4.5 vs Mistral Medium 3.1
Claude Haiku 4.5 leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 16.9 to 9.2, and Mistral Medium 3.1 costs 2.5x less per output token ($2.00 vs $5.00 per million). Updated October 22, 2026; 51 benchmarks have a result for both.
Claude Haiku 4.5 or Mistral Medium 3.1: which to pick
Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding.
Pick Mistral Medium 3.1 for output tokens 2.5x cheaper ($2.00 vs $5.00 per million) and work measured by LiveCodeBench (Vals AI) or MMMU Pro (Vals AI), where it leads.
- Shared results
- 51
- Claude Haiku 4.5 only
- 44
- Mistral Medium 3.1 only
- 23
- Like-for-like categories
- 8 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 Haiku 4.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Claude Haiku 4.5
Claude Haiku 4.5 leads, 16.9 against 9.2.
Same board, both measured
Agentic work
AA Agentic Index
Claude Haiku 4.5
Claude Haiku 4.5 leads, 8.0 against 1.9.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Claude Haiku 4.5 has a GPQA Diamond result, 72.2%.
Directional only
Math
AIME
Claude Haiku 4.5
Claude Haiku 4.5 leads, 82.7% against 42.3%.
Same board, both measured
Knowledge
MMLU Pro
Claude Haiku 4.5
Claude Haiku 4.5 leads, 78.7% against 75.3%.
Same board, both measured
Web design
Design Arena: websites
Mistral Medium 3.1
Mistral Medium 3.1 leads, 1132 against 1122.
Same board, both measured
Long documents
Listed context window
Claude Haiku 4.5
Claude Haiku 4.5 takes 200K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Medium 3.1
Claude Haiku 4.5 $0.0035, Mistral Medium 3.1 $0.0014 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Haiku 4.5 has the number, $0.56.
Directional only
At a glance
- Coding index
- Claude Haiku 4.5 35.6 from 4 benchmarks, Mistral Medium 3.1 not benchmarked.
- Widest category
- Math, 11.6 points apart on average over 4 shared benchmarks.
- Widest single gap
- AIME: Claude Haiku 4.5 82.7% against Mistral Medium 3.1 42.3%, 40.4 points apart on a 0 to 100 scale.
- Output price
- Claude Haiku 4.5 $5.00 against Mistral Medium 3.1 $2.00 per million output tokens, 2.5x apart.
- Context window
- Claude Haiku 4.5 takes 200K tokens, Mistral Medium 3.1 131K.
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 Haiku 4.5 | Bars | Mistral Medium 3.1 | Ties |
|---|---|---|---|---|
| Coding | 3 | 1 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 2 | 2 | ||
| Math | 3 | 1 | ||
| Knowledge | 5 | 5 | ||
| Web design | 3 | 4 | 1 tie | |
| General | 4 | 15 | ||
| All shared boards | 22 | 28 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
| Benchmark | Claude Haiku 4.5 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| SWE-bench Verified | 66.6% | Not measured | Only Claude Haiku 4.5 measured |
| SWE-bench Multilingual | 64.7% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench coding | 48.1% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena WebDev | 1330 | Not measured | Only Claude Haiku 4.5 measured |
| AA Coding Index | 43.9 | 20.5 | Claude Haiku 4.5 |
| LiveCodeBench (Vals AI) | 41.2% | 44.8% | Mistral Medium 3.1 |
| SWE-bench Verified (Vals AI) | 66.6% | Not measured | Only Claude Haiku 4.5 measured |
| Vibe Code Bench (Vals AI) | 11.4% | Not measured | Only Claude Haiku 4.5 measured |
| Code migration (Vals AI) | 7.5% | Not measured | Only Claude Haiku 4.5 measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Claude Haiku 4.5 measured |
| Terminal-Bench 2.1 (Vals AI) | 43.8% | Not measured | Only Claude Haiku 4.5 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 40.6% | Only Mistral Medium 3.1 measured |
| SciCode | Not measured | 32.4% | Only Mistral Medium 3.1 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 10.6% | Only Mistral Medium 3.1 measured |
| Terminal-Bench | 35.5% | Not measured | Only Claude Haiku 4.5 measured |
| WeirdML | 45.4% | Not measured | Only Claude Haiku 4.5 measured |
| ALE-Bench | Not measured | 210.2 | Only Mistral Medium 3.1 measured |
| LMArena Text: coding | 1454 | 1433 | Claude Haiku 4.5 |
| LMArena Text: software and IT | 1439 | 1436 | Claude Haiku 4.5 |
| LMArena WebDev: React | 1326 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena WebDev: HTML | 1318 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Haiku 4.5 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.9 | 9.2 | Claude Haiku 4.5 |
| Epoch Capabilities Index | 142.2 | Not measured | Only Claude Haiku 4.5 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Haiku 4.5 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| AA Agentic Index | 8.0 | 1.9 | Claude Haiku 4.5 |
| LiveBench research | 42.2% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench browser | 40.0% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench long agentic | 11.1% | Not measured | Only Claude Haiku 4.5 measured |
| Finance Agent (Vals AI) | 31.0% | Not measured | Only Claude Haiku 4.5 measured |
| Tax Agent Bench (Vals AI) | 5.9% | Not measured | Only Claude Haiku 4.5 measured |
| Legal Research Bench (Vals AI) | 10.6% | Not measured | Only Claude Haiku 4.5 measured |
| Excel Modeling Benchmark (Vals AI) | 22.7% | Not measured | Only Claude Haiku 4.5 measured |
| τ²-Bench Telecom | Not measured | 40.6% | Only Mistral Medium 3.1 measured |
| BALROG | 31.2% | Not measured | Only Claude Haiku 4.5 measured |
| DeepResearch Bench | 45.5% | Not measured | Only Claude Haiku 4.5 measured |
| Vending-Bench 2 | $459 | Not measured | Only Claude Haiku 4.5 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 68.7% | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | Claude Haiku 4.5 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| GPQA Diamond | 72.2% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench reasoning | 61.7% | Not measured | Only Claude Haiku 4.5 measured |
| MMMU Pro (Vals AI) | 46.1% | 63.0% | Mistral Medium 3.1 |
| GPQA Diamond (Artificial Analysis run) | Not measured | 58.8% | Only Mistral Medium 3.1 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 4.7% | Only Mistral Medium 3.1 measured |
| GPQA Diamond (Epoch AI run) | 71.2% | Not measured | Only Claude Haiku 4.5 measured |
| ARC-AGI | 47.7% | Not measured | Only Claude Haiku 4.5 measured |
| ARC-AGI-2 | 4.0% | Not measured | Only Claude Haiku 4.5 measured |
| Chess puzzles | 8.0% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: hard prompts | 1421 | 1426 | Mistral Medium 3.1 |
| LMArena Text: expert | 1443 | 1408 | Claude Haiku 4.5 |
| LMArena Text: hard prompts in English | 1435 | 1435 | Claude Haiku 4.5 |
| LMArena Vision: diagrams | Not measured | 1175 | Only Mistral Medium 3.1 measured |
| LMArena Vision: homework | Not measured | 1165 | Only Mistral Medium 3.1 measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Claude Haiku 4.5 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| AIME | 82.7% | 42.3% | Claude Haiku 4.5 |
| MATH 500 (Vals AI) | Not measured | 87.0% | Only Mistral Medium 3.1 measured |
| MGSM (Vals AI) | 92.2% | 90.9% | Claude Haiku 4.5 |
| AA Math Index | Not measured | 38.3 | Only Mistral Medium 3.1 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 38.3% | Only Mistral Medium 3.1 measured |
| OTIS Mock AIME | 66.7% | Not measured | Only Claude Haiku 4.5 measured |
| MATH level 5 | 96.4% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: math | 1398 | 1408 | Mistral Medium 3.1 |
| LMArena Text: mathematical work | 1430 | 1412 | Claude Haiku 4.5 |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index55
| Benchmark | Claude Haiku 4.5 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| MMLU Pro | 78.7% | 75.3% | Claude Haiku 4.5 |
| LegalBench (Vals AI) | 81.2% | 62.0% | Claude Haiku 4.5 |
| CaseLaw (Vals AI) | 56.5% | Not measured | Only Claude Haiku 4.5 measured |
| CorpFin (Vals AI) | 60.6% | 50.7% | Claude Haiku 4.5 |
| TaxEval (Vals AI) | 67.5% | 70.3% | Mistral Medium 3.1 |
| MortgageTax (Vals AI) | 62.2% | 36.5% | Claude Haiku 4.5 |
| MedQA (Vals AI) | 79.6% | 78.2% | Claude Haiku 4.5 |
| MedCode (Vals AI) | 32.7% | Not measured | Only Claude Haiku 4.5 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 68.3% | Only Mistral Medium 3.1 measured |
| SimpleQA Verified | 13.2% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: science | 1406 | 1444 | Mistral Medium 3.1 |
| LMArena Text: medicine and healthcare | 1394 | 1449 | Mistral Medium 3.1 |
| LMArena Text: legal and government | 1400 | 1439 | Mistral Medium 3.1 |
| LMArena Text: business and finance | 1400 | 1418 | Mistral Medium 3.1 |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index34
| Benchmark | Claude Haiku 4.5 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| Design Arena: websites | 1122 | 1132 | Mistral Medium 3.1 |
| Design Arena: UI components | 1097 | 1097 | Tie |
| Design Arena: game dev | 1097 | 1073 | Claude Haiku 4.5 |
| Design Arena: data viz | 1124 | 1144 | Mistral Medium 3.1 |
| Design Arena: 3D | 1071 | 1081 | Mistral Medium 3.1 |
| Design Arena: all code categories | 1114 | 1120 | Mistral Medium 3.1 |
| Design Arena: SVG | 1025 | 992 | Claude Haiku 4.5 |
| Design Arena: ASCII art | 1140 | 997 | Claude Haiku 4.5 |
| LiveBench design | 59.9% | Not measured | Only Claude Haiku 4.5 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index415
| Benchmark | Claude Haiku 4.5 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| LiveBench data analysis | 59.3% | Not measured | Only Claude Haiku 4.5 measured |
| Public Benefits Bench (Vals AI) | 54.3% | Not measured | Only Claude Haiku 4.5 measured |
| SAGE (Vals AI) | 31.8% | Not measured | Only Claude Haiku 4.5 measured |
| MedScribe (Vals AI) | 85.2% | Not measured | Only Claude Haiku 4.5 measured |
| Vals Multimodal Index | 42.9% | Not measured | Only Claude Haiku 4.5 measured |
| IFBench | Not measured | 39.8% | Only Mistral Medium 3.1 measured |
| Long context reasoning (AA-LCR) | Not measured | 42.7% | Only Mistral Medium 3.1 measured |
| DTBench | 73.6% | 67.5% | Claude Haiku 4.5 |
| LMCA | 30.9% | 19.1% | Claude Haiku 4.5 |
| ExploitBench | 13.7% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text | 1397 | 1424 | Mistral Medium 3.1 |
| LMArena Text: instruction following | 1414 | 1398 | Claude Haiku 4.5 |
| LMArena Text: creative writing | 1371 | 1391 | Mistral Medium 3.1 |
| LMArena Vision | Not measured | 1172 | Only Mistral Medium 3.1 measured |
| LMArena Text: English | 1414 | 1438 | Mistral Medium 3.1 |
| LMArena Text: non-English | 1377 | 1408 | Mistral Medium 3.1 |
| LMArena Text: Chinese | 1418 | 1447 | Mistral Medium 3.1 |
| LMArena Text: German | 1374 | 1432 | Mistral Medium 3.1 |
| LMArena Text: Japanese | 1338 | 1379 | Mistral Medium 3.1 |
| LMArena Text: Korean | 1346 | 1380 | Mistral Medium 3.1 |
| LMArena Text: French | 1411 | 1460 | Mistral Medium 3.1 |
| LMArena Text: Spanish | 1421 | 1433 | Mistral Medium 3.1 |
| LMArena Text: Russian | 1381 | 1411 | Mistral Medium 3.1 |
| LMArena Text: Polish | 1343 | 1430 | Mistral Medium 3.1 |
| LMArena Text: multi-turn | 1409 | 1418 | Mistral Medium 3.1 |
| LMArena Text: longer queries | 1427 | 1406 | Claude Haiku 4.5 |
| LMArena Text: writing and language | 1386 | 1395 | Mistral Medium 3.1 |
| LMArena Text: entertainment and media | 1369 | 1390 | Mistral Medium 3.1 |
| LMArena Vision: English | Not measured | 1179 | Only Mistral Medium 3.1 measured |
| LMArena Vision: Chinese | Not measured | 1190 | Only Mistral Medium 3.1 measured |
| LMArena Vision: reading text | Not measured | 1175 | Only Mistral Medium 3.1 measured |
| LMArena Vision: humor | Not measured | 1168 | Only Mistral Medium 3.1 measured |
| LMArena Vision: captioning | Not measured | 1145 | Only Mistral Medium 3.1 measured |
| LMArena Vision: recognizing things | Not measured | 1147 | Only Mistral Medium 3.1 measured |
| LMArena Vision: creative writing | Not measured | 1200 | Only Mistral Medium 3.1 measured |
| LMArena Document | 1420 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Haiku 4.5 | Mistral Medium 3.1 | 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 Medium 3.1 costs less
Repository review
50K input + 3K output tokens
Mistral Medium 3.1 costs less
Agent loop
200K input + 10K output tokens
Mistral Medium 3.1 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 Haiku 4.5 | Mistral Medium 3.1 |
|---|---|---|
| Maker | Anthropic | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | October 15, 2025 | August 13, 2025 |
| Context window | 200K | 131K |
| Input $/Mtok | $1.00 | $0.40 |
| Output $/Mtok | $5.00 | $2.00 |
| Coding index | 35.6 | Not benchmarked |
| Independent measurements behind it | 4 | 0 |
| Cost per solved task | $0.56 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 4.5 better than Mistral Medium 3.1 for coding?
Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding. Pick Mistral Medium 3.1 for output tokens 2.5x cheaper ($2.00 vs $5.00 per million) and work measured by LiveCodeBench (Vals AI) or MMMU Pro (Vals AI), where it leads.
Which is cheaper, Claude Haiku 4.5 or Mistral Medium 3.1?
Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for Claude Haiku 4.5 only.
Which has the bigger context window, Claude Haiku 4.5 or Mistral Medium 3.1?
Claude Haiku 4.5, with 200K tokens against 131K.
How many benchmarks is the Claude Haiku 4.5 vs Mistral Medium 3.1 comparison based on?
51 benchmarks have a result for both models as of October 22, 2026. Claude Haiku 4.5's coding index rests on 4 independent benchmarks and Mistral Medium 3.1's on 0. Where only one model has a result, the page says so instead of naming a winner.