Claude Haiku 5.5 vs Mistral Large 4
Claude Haiku 5.5 leads Mistral Large 4 on coding, 70.7 to 56.4 on the Vibe Coding Index, and Claude Haiku 5.5 costs 8.4x less per output token ($0.50 vs $4.18 per million). Updated October 22, 2026; 48 benchmarks have a result for both.
Claude Haiku 5.5 or Mistral Large 4: which to pick
Pick Claude Haiku 5.5 for coding: it scores 70.7 on the Vibe Coding Index against 56.4 for Mistral Large 4.
Pick Mistral Large 4 for a larger context window (1.05M against 1M tokens) and work measured by Finance Agent (Vals AI) or Harvey's Legal Agent Benchmark (Vals AI), where it leads.
- Shared results
- 48
- Claude Haiku 5.5 only
- 15
- Mistral Large 4 only
- 33
- 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
Claude Haiku 5.5
Claude Haiku 5.5 scores 70.7 against 56.4.
5 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Haiku 5.5
Claude Haiku 5.5 leads, 43.4 against 38.4.
Same board, both measured
Web design
Design Arena: websites
Claude Haiku 5.5
Claude Haiku 5.5 leads, 1262 against 1258.
Same board, both measured
General
Vals Index
No call
Only Claude Haiku 5.5 has a Vals Index result, 58.7%.
Directional only
Long documents
Listed context window
Mistral Large 4
Mistral Large 4 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Claude Haiku 5.5
Claude Haiku 5.5 $0.0003, Mistral Large 4 $0.0034 per turn.
List prices
At a glance
- Coding index
- Claude Haiku 5.5 70.7 from 5 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
- Widest category
- Math, 28.9 points apart on average over 4 shared benchmarks.
- Widest single gap
- ProofBench: Claude Haiku 5.5 89.0% against Mistral Large 4 10.0%, 79.0 points apart on a 0 to 100 scale.
- Output price
- Claude Haiku 5.5 $0.50 against Mistral Large 4 $4.18 per million output tokens, 8.4x apart.
- Context window
- Claude Haiku 5.5 takes 1M 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 5.5 | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 12 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 7 | 2 | ||
| Reasoning | 5 | 1 | ||
| Math | 4 | 0 | ||
| Knowledge | 2 | 0 | ||
| Web design | 7 | 0 | ||
| General | 5 | 1 | ||
| All shared boards | 44 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index120
| Benchmark | Claude Haiku 5.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench coding | 91.4% | 60.0% | Claude Haiku 5.5 |
| LMArena WebDev | 1586 | 1543 | Claude Haiku 5.5 |
| Terminal-Bench 4 (Vals AI) | 36.4% | 27.8% | Claude Haiku 5.5 |
| Vibe Code Bench (Vals AI) | 90.4% | 78.4% | Claude Haiku 5.5 |
| Code migration (Vals AI) | 44.6% | 30.6% | Claude Haiku 5.5 |
| ProgramBench (Vals AI) | 2.5% | Not measured | Only Claude Haiku 5.5 measured |
| IOI (Vals AI) | 47.3% | 45.3% | Claude Haiku 5.5 |
| SWE-bench Multimodal (Vals AI) | 44.0% | 33.1% | Claude Haiku 5.5 |
| Vibe Code Bench 1-100 (Vals AI) | 20.4% | 14.3% | Claude Haiku 5.5 |
| CyberBench (Vals AI) | 75.5% | Not measured | Only Claude Haiku 5.5 measured |
| SciCode | 55.0% | 54.2% | Claude Haiku 5.5 |
| FrontierCode | 46.4% | 39.4% | Claude Haiku 5.5 |
| FrontierSWE | 43.8% | Not measured | Only Claude Haiku 5.5 measured |
| ALE-Bench | Not measured | 1213.2 | Only Mistral Large 4 measured |
| LMArena Text: coding | Not measured | 1478 | Only Mistral Large 4 measured |
| LMArena Text: software and IT | Not measured | 1467 | Only Mistral Large 4 measured |
| LMArena WebDev: React | 1605 | 1559 | Claude Haiku 5.5 |
| LMArena WebDev: HTML | 1569 | 1487 | Claude Haiku 5.5 |
| SciCode | 9.2% | Not measured | Only Claude Haiku 5.5 measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Haiku 5.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 43.4 | 38.4 | Claude Haiku 5.5 |
| Epoch Capabilities Index | 159.3 | 150.0 | Claude Haiku 5.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index72
| Benchmark | Claude Haiku 5.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench research | 81.9% | 28.1% | Claude Haiku 5.5 |
| LiveBench browser | 80.0% | 8.0% | Claude Haiku 5.5 |
| LiveBench long agentic | 57.6% | 11.8% | Claude Haiku 5.5 |
| SREBench (Vals AI) | 5.7% | Not measured | Only Claude Haiku 5.5 measured |
| Finance Agent (Vals AI) | 54.1% | 54.7% | Mistral Large 4 |
| Tax Agent Bench (Vals AI) | 31.9% | 30.4% | Claude Haiku 5.5 |
| Legal Research Bench (Vals AI) | 43.3% | 31.7% | Claude Haiku 5.5 |
| Harvey's Legal Agent Benchmark (Vals AI) | 4.2% | 17.5% | Mistral Large 4 |
| Excel Modeling Benchmark (Vals AI) | 59.0% | 56.2% | Claude Haiku 5.5 |
| BioMysteryBench (Vals AI) | 70.4% | 67.0% | Claude Haiku 5.5 |
| Terminal-Bench-Science (Vals AI) | 10.0% | Not measured | Only Claude Haiku 5.5 measured |
| Vals Science Index | 38.5% | Not measured | Only Claude Haiku 5.5 measured |
| APEX-Agents | 56.1% | Not measured | Only Claude Haiku 5.5 measured |
| Vending-Bench 2 | $3,602 | Not measured | Only Claude Haiku 5.5 measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Claude Haiku 5.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench reasoning | 82.4% | 83.9% | Mistral Large 4 |
| MysteryMechanism (Vals AI) | 35.1% | 12.2% | Claude Haiku 5.5 |
| Humanity's Last Exam (Artificial Analysis run) | 44.4% | 35.0% | Claude Haiku 5.5 |
| GPQA Diamond (Epoch AI run) | 89.6% | 88.1% | Claude Haiku 5.5 |
| ARC-AGI | 89.0% | Not measured | Only Claude Haiku 5.5 measured |
| ARC-AGI-2 | 61.3% | Not measured | Only Claude Haiku 5.5 measured |
| Chess puzzles | 55.0% | 33.0% | Claude Haiku 5.5 |
| Mystery game puzzles | 30.0% | 17.0% | Claude Haiku 5.5 |
| EBR-bench | 43.8% | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: hard prompts | Not measured | 1444 | Only Mistral Large 4 measured |
| LMArena Text: expert | Not measured | 1444 | Only Mistral Large 4 measured |
| LMArena Text: hard prompts in English | Not measured | 1442 | Only Mistral Large 4 measured |
| LMArena Vision: diagrams | Not measured | 1288 | Only Mistral Large 4 measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Haiku 5.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.9% | 98.3% | Claude Haiku 5.5 |
| FrontierMath, tiers 1 to 3 | 75.1% | 58.6% | Claude Haiku 5.5 |
| FrontierMath, tier 4 | 46.3% | 26.8% | Claude Haiku 5.5 |
| ProofBench | 89.0% | 10.0% | Claude Haiku 5.5 |
| LMArena Text: math | Not measured | 1469 | Only Mistral Large 4 measured |
| LMArena Text: mathematical work | Not measured | 1462 | Only Mistral Large 4 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Haiku 5.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| MedCode (Vals AI) | 51.5% | 40.7% | Claude Haiku 5.5 |
| SimpleQA Verified | 23.8% | 20.0% | Claude Haiku 5.5 |
| LMArena Text: science | Not measured | 1448 | Only Mistral Large 4 measured |
| LMArena Text: medicine and healthcare | Not measured | 1433 | Only Mistral Large 4 measured |
| LMArena Text: legal and government | Not measured | 1425 | Only Mistral Large 4 measured |
| LMArena Text: business and finance | Not measured | 1439 | Only Mistral Large 4 measured |
| Neither model has a result on the other 12 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Claude Haiku 5.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1262 | 1258 | Claude Haiku 5.5 |
| Design Arena: UI components | 1283 | 1273 | Claude Haiku 5.5 |
| Design Arena: game dev | 1315 | 1225 | Claude Haiku 5.5 |
| Design Arena: data viz | 1294 | 1275 | Claude Haiku 5.5 |
| Design Arena: 3D | 1342 | 1252 | Claude Haiku 5.5 |
| Design Arena: all code categories | 1277 | 1259 | Claude Haiku 5.5 |
| Design Arena: SVG | Not measured | 1232 | Only Mistral Large 4 measured |
| Design Arena: ASCII art | Not measured | 1202 | Only Mistral Large 4 measured |
| LiveBench design | 83.1% | 65.6% | Claude Haiku 5.5 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Claude Haiku 5.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| Vals Index | 58.7% | Not measured | Only Claude Haiku 5.5 measured |
| LiveBench data analysis | 53.1% | 76.5% | Mistral Large 4 |
| Public Benefits Bench (Vals AI) | 63.2% | Not measured | Only Claude Haiku 5.5 measured |
| SAGE (Vals AI) | 45.8% | Not measured | Only Claude Haiku 5.5 measured |
| MedScribe (Vals AI) | 89.5% | 80.4% | Claude Haiku 5.5 |
| Long context reasoning (AA-LCR) | 82.7% | 81.3% | Claude Haiku 5.5 |
| DTBench | 95.0% | 88.2% | Claude Haiku 5.5 |
| LMCA | 51.1% | 35.8% | Claude Haiku 5.5 |
| Surface Evolver Bench | Not measured | 28.1% | Only Mistral Large 4 measured |
| Furniture assembly | 47.5% | 20.8% | Claude Haiku 5.5 |
| LMArena Text | Not measured | 1431 | Only Mistral Large 4 measured |
| LMArena Text: instruction following | Not measured | 1422 | Only Mistral Large 4 measured |
| LMArena Text: creative writing | Not measured | 1363 | Only Mistral Large 4 measured |
| LMArena Vision | Not measured | 1272 | Only Mistral Large 4 measured |
| LMArena Text: English | Not measured | 1433 | Only Mistral Large 4 measured |
| LMArena Text: non-English | Not measured | 1422 | Only Mistral Large 4 measured |
| LMArena Text: Chinese | Not measured | 1492 | Only Mistral Large 4 measured |
| LMArena Text: Japanese | Not measured | 1415 | Only Mistral Large 4 measured |
| LMArena Text: French | Not measured | 1492 | Only Mistral Large 4 measured |
| LMArena Text: Spanish | Not measured | 1455 | Only Mistral Large 4 measured |
| LMArena Text: Russian | Not measured | 1417 | Only Mistral Large 4 measured |
| LMArena Text: multi-turn | Not measured | 1435 | Only Mistral Large 4 measured |
| LMArena Text: longer queries | Not measured | 1428 | Only Mistral Large 4 measured |
| LMArena Text: writing and language | Not measured | 1386 | Only Mistral Large 4 measured |
| LMArena Text: entertainment and media | Not measured | 1378 | Only Mistral Large 4 measured |
| LMArena Vision: English | Not measured | 1283 | Only Mistral Large 4 measured |
| LMArena Vision: reading text | Not measured | 1284 | Only Mistral Large 4 measured |
| Neither model has a result on the other 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Haiku 5.5 | 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
Claude Haiku 5.5 costs less
Repository review
50K input + 3K output tokens
Claude Haiku 5.5 costs less
Agent loop
200K input + 10K output tokens
Claude Haiku 5.5 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 5.5 | Mistral Large 4 |
|---|---|---|
| Maker | Anthropic | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | October 7, 2026 | October 6, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $0.10 | $1.36 |
| Output $/Mtok | $0.50 | $4.18 |
| Coding index | 70.7 | 56.4 |
| Independent measurements behind it | 5 | 5 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 5.5 better than Mistral Large 4 for coding?
Pick Claude Haiku 5.5 for coding: it scores 70.7 on the Vibe Coding Index against 56.4 for Mistral Large 4. Pick Mistral Large 4 for a larger context window (1.05M against 1M tokens) and work measured by Finance Agent (Vals AI) or Harvey's Legal Agent Benchmark (Vals AI), where it leads.
Which is cheaper, Claude Haiku 5.5 or Mistral Large 4?
Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for neither of them.
Which has the bigger context window, Claude Haiku 5.5 or Mistral Large 4?
Mistral Large 4, with 1.05M tokens against 1M.
How many benchmarks is the Claude Haiku 5.5 vs Mistral Large 4 comparison based on?
48 benchmarks have a result for both models as of October 22, 2026. Claude Haiku 5.5's coding index rests on 5 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.