Claude Haiku 4.5 vs Mistral Large 4
Mistral Large 4 leads Claude Haiku 4.5 on coding, 56.4 to 35.6 on the Vibe Coding Index, at about the same output price ($4.18 vs $5.00 per million). Updated October 22, 2026; 59 benchmarks have a result for both.
Claude Haiku 4.5 or Mistral Large 4: which to pick
Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 35.6 for Claude Haiku 4.5.
Pick Claude Haiku 4.5 for work measured by LiveBench research or LiveBench browser, where it leads.
- Shared results
- 59
- Claude Haiku 4.5 only
- 36
- Mistral Large 4 only
- 22
- 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
Mistral Large 4
Mistral Large 4 scores 56.4 against 35.6.
4 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 16.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Haiku 4.5 has a AA Agentic Index result, 8.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Claude Haiku 4.5 has a GPQA Diamond result, 72.2%.
Directional only
Math
AIME
No call
Only Claude Haiku 4.5 has a AIME result, 82.7%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Haiku 4.5 has a MMLU Pro result, 78.7%.
Directional only
Web design
Design Arena: websites
Mistral Large 4
Mistral Large 4 leads, 1257 against 1122.
Same board, both measured
Long documents
Listed context window
Mistral Large 4
Mistral Large 4 takes 1.05M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Large 4
Claude Haiku 4.5 $0.0035, Mistral Large 4 $0.0034 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 Large 4 56.4 from 5 benchmarks.
- Widest category
- Coding, 26.0 points apart on average over 8 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Claude Haiku 4.5 11.4% against Mistral Large 4 78.4%, 67.0 points apart on a 0 to 100 scale.
- Output price
- Claude Haiku 4.5 $5.00 against Mistral Large 4 $4.18 per million output tokens, 1.2x apart.
- Context window
- Claude Haiku 4.5 takes 200K tokens, Mistral Large 4 1.05M.
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 Large 4 | Ties |
|---|---|---|---|---|
| Coding | 0 | 8 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 2 | 5 | ||
| Reasoning | 0 | 6 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 6 | ||
| Web design | 0 | 9 | ||
| General | 3 | 15 | ||
| All shared boards | 5 | 54 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
| Benchmark | Claude Haiku 4.5 | Mistral Large 4 | 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% | 60.0% | Mistral Large 4 |
| LMArena WebDev | 1330 | 1543 | Mistral Large 4 |
| AA Coding Index | 43.9 | Not measured | Only Claude Haiku 4.5 measured |
| LiveCodeBench (Vals AI) | 41.2% | Not measured | Only Claude Haiku 4.5 measured |
| SWE-bench Verified (Vals AI) | 66.6% | Not measured | Only Claude Haiku 4.5 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 27.8% | Only Mistral Large 4 measured |
| Vibe Code Bench (Vals AI) | 11.4% | 78.4% | Mistral Large 4 |
| Code migration (Vals AI) | 7.5% | 30.6% | Mistral Large 4 |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Claude Haiku 4.5 measured |
| IOI (Vals AI) | Not measured | 45.3% | Only Mistral Large 4 measured |
| Terminal-Bench 2.1 (Vals AI) | 43.8% | Not measured | Only Claude Haiku 4.5 measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 33.1% | Only Mistral Large 4 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 14.3% | Only Mistral Large 4 measured |
| SciCode | Not measured | 54.2% | Only Mistral Large 4 measured |
| Terminal-Bench | 35.5% | Not measured | Only Claude Haiku 4.5 measured |
| FrontierCode | Not measured | 39.4% | Only Mistral Large 4 measured |
| WeirdML | 45.4% | Not measured | Only Claude Haiku 4.5 measured |
| ALE-Bench | Not measured | 1213.2 | Only Mistral Large 4 measured |
| LMArena Text: coding | 1454 | 1478 | Mistral Large 4 |
| LMArena Text: software and IT | 1439 | 1467 | Mistral Large 4 |
| LMArena WebDev: React | 1326 | 1559 | Mistral Large 4 |
| LMArena WebDev: HTML | 1318 | 1487 | Mistral Large 4 |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Haiku 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.9 | 38.4 | Mistral Large 4 |
| Epoch Capabilities Index | 142.2 | 150.0 | Mistral Large 4 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index25
| Benchmark | Claude Haiku 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 8.0 | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench research | 42.2% | 28.1% | Claude Haiku 4.5 |
| LiveBench browser | 40.0% | 8.0% | Claude Haiku 4.5 |
| LiveBench long agentic | 11.1% | 11.8% | Mistral Large 4 |
| Finance Agent (Vals AI) | 31.0% | 54.7% | Mistral Large 4 |
| Tax Agent Bench (Vals AI) | 5.9% | 30.4% | Mistral Large 4 |
| Legal Research Bench (Vals AI) | 10.6% | 31.7% | Mistral Large 4 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 17.5% | Only Mistral Large 4 measured |
| Excel Modeling Benchmark (Vals AI) | 22.7% | 56.2% | Mistral Large 4 |
| BioMysteryBench (Vals AI) | Not measured | 67.0% | Only Mistral Large 4 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 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Claude Haiku 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| GPQA Diamond | 72.2% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench reasoning | 61.7% | 83.9% | Mistral Large 4 |
| MysteryMechanism (Vals AI) | Not measured | 12.2% | Only Mistral Large 4 measured |
| MMMU Pro (Vals AI) | 46.1% | Not measured | Only Claude Haiku 4.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 35.0% | Only Mistral Large 4 measured |
| GPQA Diamond (Epoch AI run) | 71.2% | 88.1% | Mistral Large 4 |
| 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% | 33.0% | Mistral Large 4 |
| Mystery game puzzles | Not measured | 17.0% | Only Mistral Large 4 measured |
| LMArena Text: hard prompts | 1421 | 1444 | Mistral Large 4 |
| LMArena Text: expert | 1443 | 1444 | Mistral Large 4 |
| LMArena Text: hard prompts in English | 1435 | 1442 | Mistral Large 4 |
| LMArena Vision: diagrams | Not measured | 1288 | Only Mistral Large 4 measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Claude Haiku 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| AIME | 82.7% | Not measured | Only Claude Haiku 4.5 measured |
| MGSM (Vals AI) | 92.2% | Not measured | Only Claude Haiku 4.5 measured |
| OTIS Mock AIME | 66.7% | 98.3% | Mistral Large 4 |
| FrontierMath, tiers 1 to 3 | Not measured | 58.6% | Only Mistral Large 4 measured |
| FrontierMath, tier 4 | Not measured | 26.8% | Only Mistral Large 4 measured |
| ProofBench | Not measured | 10.0% | Only Mistral Large 4 measured |
| MATH level 5 | 96.4% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: math | 1398 | 1469 | Mistral Large 4 |
| LMArena Text: mathematical work | 1430 | 1462 | Mistral Large 4 |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Claude Haiku 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| MMLU Pro | 78.7% | Not measured | Only Claude Haiku 4.5 measured |
| LegalBench (Vals AI) | 81.2% | Not measured | Only Claude Haiku 4.5 measured |
| CaseLaw (Vals AI) | 56.5% | Not measured | Only Claude Haiku 4.5 measured |
| CorpFin (Vals AI) | 60.6% | Not measured | Only Claude Haiku 4.5 measured |
| TaxEval (Vals AI) | 67.5% | Not measured | Only Claude Haiku 4.5 measured |
| MortgageTax (Vals AI) | 62.2% | Not measured | Only Claude Haiku 4.5 measured |
| MedQA (Vals AI) | 79.6% | Not measured | Only Claude Haiku 4.5 measured |
| MedCode (Vals AI) | 32.7% | 40.7% | Mistral Large 4 |
| SimpleQA Verified | 13.2% | 20.0% | Mistral Large 4 |
| LMArena Text: science | 1406 | 1448 | Mistral Large 4 |
| LMArena Text: medicine and healthcare | 1394 | 1433 | Mistral Large 4 |
| LMArena Text: legal and government | 1400 | 1425 | Mistral Large 4 |
| LMArena Text: business and finance | 1400 | 1439 | Mistral Large 4 |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index09
| Benchmark | Claude Haiku 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1122 | 1257 | Mistral Large 4 |
| Design Arena: UI components | 1097 | 1272 | Mistral Large 4 |
| Design Arena: game dev | 1097 | 1225 | Mistral Large 4 |
| Design Arena: data viz | 1124 | 1275 | Mistral Large 4 |
| Design Arena: 3D | 1071 | 1252 | Mistral Large 4 |
| Design Arena: all code categories | 1114 | 1259 | Mistral Large 4 |
| Design Arena: SVG | 1025 | 1232 | Mistral Large 4 |
| Design Arena: ASCII art | 1140 | 1202 | Mistral Large 4 |
| LiveBench design | 59.9% | 65.6% | Mistral Large 4 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index315
| Benchmark | Claude Haiku 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench data analysis | 59.3% | 76.5% | Mistral Large 4 |
| 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% | 80.4% | Claude Haiku 4.5 |
| Vals Multimodal Index | 42.9% | Not measured | Only Claude Haiku 4.5 measured |
| Long context reasoning (AA-LCR) | Not measured | 81.3% | Only Mistral Large 4 measured |
| DTBench | 73.6% | 88.2% | Mistral Large 4 |
| LMCA | 30.9% | 35.8% | Mistral Large 4 |
| Surface Evolver Bench | Not measured | 28.1% | Only Mistral Large 4 measured |
| Furniture assembly | Not measured | 20.8% | Only Mistral Large 4 measured |
| ExploitBench | 13.7% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text | 1397 | 1431 | Mistral Large 4 |
| LMArena Text: instruction following | 1414 | 1422 | Mistral Large 4 |
| LMArena Text: creative writing | 1371 | 1363 | Claude Haiku 4.5 |
| LMArena Vision | Not measured | 1272 | Only Mistral Large 4 measured |
| LMArena Text: English | 1414 | 1433 | Mistral Large 4 |
| LMArena Text: non-English | 1377 | 1422 | Mistral Large 4 |
| LMArena Text: Chinese | 1418 | 1492 | Mistral Large 4 |
| LMArena Text: German | 1374 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: Japanese | 1338 | 1415 | Mistral Large 4 |
| LMArena Text: Korean | 1346 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: French | 1411 | 1492 | Mistral Large 4 |
| LMArena Text: Spanish | 1421 | 1455 | Mistral Large 4 |
| LMArena Text: Russian | 1381 | 1417 | Mistral Large 4 |
| LMArena Text: Polish | 1343 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: multi-turn | 1409 | 1435 | Mistral Large 4 |
| LMArena Text: longer queries | 1427 | 1428 | Mistral Large 4 |
| LMArena Text: writing and language | 1386 | 1386 | Claude Haiku 4.5 |
| LMArena Text: entertainment and media | 1369 | 1378 | Mistral Large 4 |
| LMArena Vision: English | Not measured | 1283 | Only Mistral Large 4 measured |
| LMArena Vision: reading text | Not measured | 1284 | Only Mistral Large 4 measured |
| LMArena Document | 1420 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Haiku 4.5 | Mistral Large 4 | 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 Large 4 costs less
Repository review
50K input + 3K output tokens
Claude Haiku 4.5 costs less
Agent loop
200K input + 10K output tokens
Claude Haiku 4.5 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 Large 4 |
|---|---|---|
| Maker | Anthropic | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | October 15, 2025 | October 6, 2026 |
| Context window | 200K | 1.05M |
| Input $/Mtok | $1.00 | $1.36 |
| Output $/Mtok | $5.00 | $4.18 |
| Coding index | 35.6 | 56.4 |
| Independent measurements behind it | 4 | 5 |
| Cost per solved task | $0.56 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 4.5 better than Mistral Large 4 for coding?
Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 35.6 for Claude Haiku 4.5. Pick Claude Haiku 4.5 for work measured by LiveBench research or LiveBench browser, where it leads.
Which is cheaper, Claude Haiku 4.5 or Mistral Large 4?
Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for Claude Haiku 4.5 only.
Which has the bigger context window, Claude Haiku 4.5 or Mistral Large 4?
Mistral Large 4, with 1.05M tokens against 200K.
How many benchmarks is the Claude Haiku 4.5 vs Mistral Large 4 comparison based on?
59 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 Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.