Claude Haiku 4.5 vs Mistral Large 3 2512
Claude Haiku 4.5 leads Mistral Large 3 2512 on the Artificial Analysis Intelligence Index, 16.9 to 9.3, and Mistral Large 3 2512 costs 3.3x less per output token ($1.50 vs $5.00 per million). Updated October 22, 2026; 27 benchmarks have a result for both.
Claude Haiku 4.5 or Mistral Large 3 2512: which to pick
Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding.
Pick Mistral Large 3 2512 for output tokens 3.3x cheaper ($1.50 vs $5.00 per million) and a larger context window (262K against 200K tokens).
- Shared results
- 27
- Claude Haiku 4.5 only
- 68
- Mistral Large 3 2512 only
- 1
- 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 9.3.
Same board, both measured
Agentic work
AA Agentic Index
Claude Haiku 4.5
Claude Haiku 4.5 leads, 8.0 against 1.0.
Same board, both measured
Reasoning
GPQA Diamond
Claude Haiku 4.5
Claude Haiku 4.5 leads, 72.2% against 68.4%.
Same board, both measured
Math
AIME
Claude Haiku 4.5
Claude Haiku 4.5 leads, 82.7% against 42.9%.
Same board, both measured
Knowledge
MMLU Pro
Mistral Large 3 2512
Mistral Large 3 2512 leads, 79.8% against 78.7%.
Same board, both measured
Web design
Design Arena: websites
Mistral Large 3 2512
Mistral Large 3 2512 leads, 1162 against 1122.
Same board, both measured
Long documents
Listed context window
Mistral Large 3 2512
Mistral Large 3 2512 takes 262K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Large 3 2512
Claude Haiku 4.5 $0.0035, Mistral Large 3 2512 $0.0013 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Claude Haiku 4.5
Claude Haiku 4.5 $0.56, Mistral Large 3 2512 $0.77.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Haiku 4.5 35.6 from 4 benchmarks, Mistral Large 3 2512 not benchmarked.
- Widest category
- Math, 23.3 points apart on average over 2 shared benchmarks.
- Widest single gap
- AIME: Claude Haiku 4.5 82.7% against Mistral Large 3 2512 42.9%, 39.8 points apart on a 0 to 100 scale.
- Output price
- Claude Haiku 4.5 $5.00 against Mistral Large 3 2512 $1.50 per million output tokens, 3.3x apart.
- Context window
- Claude Haiku 4.5 takes 200K tokens, Mistral Large 3 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 Haiku 4.5 | Bars | Mistral Large 3 2512 | Ties |
|---|---|---|---|---|
| Coding | 2 | 1 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 1 | 1 | ||
| Math | 2 | 0 | ||
| Knowledge | 2 | 5 | ||
| Web design | 3 | 5 | ||
| General | 3 | 0 | ||
| All shared boards | 15 | 12 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
| Benchmark | Claude Haiku 4.5 | Mistral Large 3 2512 | 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 | 20.1 | Claude Haiku 4.5 |
| LiveCodeBench (Vals AI) | 41.2% | 55.3% | Mistral Large 3 2512 |
| SWE-bench Verified (Vals AI) | 66.6% | 41.4% | Claude Haiku 4.5 |
| 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 |
| 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 | 264.7 | Only Mistral Large 3 2512 measured |
| LMArena Text: coding | 1454 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: software and IT | 1439 | Not measured | Only Claude Haiku 4.5 measured |
| 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 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Haiku 4.5 | Mistral Large 3 2512 | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.9 | 9.3 | 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 Large 3 2512 | Leader |
|---|---|---|---|
| AA Agentic Index | 8.0 | 1.0 | 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 |
| 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 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Claude Haiku 4.5 | Mistral Large 3 2512 | Leader |
|---|---|---|---|
| GPQA Diamond | 72.2% | 68.4% | Claude Haiku 4.5 |
| LiveBench reasoning | 61.7% | Not measured | Only Claude Haiku 4.5 measured |
| MMMU Pro (Vals AI) | 46.1% | 66.2% | Mistral Large 3 2512 |
| 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 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: expert | 1443 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: hard prompts in English | 1435 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Haiku 4.5 | Mistral Large 3 2512 | Leader |
|---|---|---|---|
| AIME | 82.7% | 42.9% | Claude Haiku 4.5 |
| MGSM (Vals AI) | 92.2% | 85.4% | Claude Haiku 4.5 |
| 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 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: mathematical work | 1430 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index25
| Benchmark | Claude Haiku 4.5 | Mistral Large 3 2512 | Leader |
|---|---|---|---|
| MMLU Pro | 78.7% | 79.8% | Mistral Large 3 2512 |
| LegalBench (Vals AI) | 81.2% | 79.1% | Claude Haiku 4.5 |
| CaseLaw (Vals AI) | 56.5% | 61.4% | Mistral Large 3 2512 |
| CorpFin (Vals AI) | 60.6% | 61.0% | Mistral Large 3 2512 |
| TaxEval (Vals AI) | 67.5% | 73.1% | Mistral Large 3 2512 |
| MortgageTax (Vals AI) | 62.2% | 52.1% | Claude Haiku 4.5 |
| MedQA (Vals AI) | 79.6% | 82.2% | Mistral Large 3 2512 |
| MedCode (Vals AI) | 32.7% | Not measured | Only Claude Haiku 4.5 measured |
| SimpleQA Verified | 13.2% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: science | 1406 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: medicine and healthcare | 1394 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: legal and government | 1400 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: business and finance | 1400 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index35
| Benchmark | Claude Haiku 4.5 | Mistral Large 3 2512 | Leader |
|---|---|---|---|
| Design Arena: websites | 1122 | 1162 | Mistral Large 3 2512 |
| Design Arena: UI components | 1097 | 1099 | Mistral Large 3 2512 |
| Design Arena: game dev | 1097 | 1080 | Claude Haiku 4.5 |
| Design Arena: data viz | 1124 | 1136 | Mistral Large 3 2512 |
| Design Arena: 3D | 1071 | 1099 | Mistral Large 3 2512 |
| Design Arena: all code categories | 1114 | 1141 | Mistral Large 3 2512 |
| Design Arena: SVG | 1025 | 992 | Claude Haiku 4.5 |
| Design Arena: ASCII art | 1140 | 1069 | 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 index30
| Benchmark | Claude Haiku 4.5 | Mistral Large 3 2512 | 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% | 24.6% | Claude Haiku 4.5 |
| 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 |
| DTBench | 73.6% | 65.1% | Claude Haiku 4.5 |
| LMCA | 30.9% | 16.7% | Claude Haiku 4.5 |
| ExploitBench | 13.7% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text | 1397 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: instruction following | 1414 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: creative writing | 1371 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: English | 1414 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: non-English | 1377 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: Chinese | 1418 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: German | 1374 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: Japanese | 1338 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: Korean | 1346 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: French | 1411 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: Spanish | 1421 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: Russian | 1381 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: Polish | 1343 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: multi-turn | 1409 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: longer queries | 1427 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: writing and language | 1386 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: entertainment and media | 1369 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Document | 1420 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Haiku 4.5 | Mistral Large 3 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
Mistral Large 3 2512 costs less
Repository review
50K input + 3K output tokens
Mistral Large 3 2512 costs less
Agent loop
200K input + 10K output tokens
Mistral Large 3 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 Haiku 4.5 | Mistral Large 3 2512 |
|---|---|---|
| Maker | Anthropic | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | October 15, 2025 | December 1, 2025 |
| Context window | 200K | 262K |
| Input $/Mtok | $1.00 | $0.50 |
| Output $/Mtok | $5.00 | $1.50 |
| Coding index | 35.6 | Not benchmarked |
| Independent measurements behind it | 4 | 1 |
| Cost per solved task | $0.56 | $0.77 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 4.5 better than Mistral Large 3 2512 for coding?
Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding. Pick Mistral Large 3 2512 for output tokens 3.3x cheaper ($1.50 vs $5.00 per million) and a larger context window (262K against 200K tokens).
Which is cheaper, Claude Haiku 4.5 or Mistral Large 3 2512?
Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Mistral Large 3 2512 costs $0.50 and $1.50. Per solved SWE-bench Verified task, Claude Haiku 4.5 costs $0.56 and Mistral Large 3 2512 $0.77.
Which has the bigger context window, Claude Haiku 4.5 or Mistral Large 3 2512?
Mistral Large 3 2512, with 262K tokens against 200K.
How many benchmarks is the Claude Haiku 4.5 vs Mistral Large 3 2512 comparison based on?
27 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 3 2512's on 1. Where only one model has a result, the page says so instead of naming a winner.