Claude Haiku 4.5 vs MiniMax M2
Updated October 21, 2026. 39 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Claude Haiku 4.5 for coding: it scores 49.8 on the Vibe Coding Index against 45.3 for MiniMax M2.
Pick MiniMax M2 when output tokens cost 4.9x less, or when the context window is larger, 205K against 200K tokens.
- Shared results
- 39
- Claude Haiku 4.5 only
- 55
- MiniMax M2 only
- 10
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Claude Haiku 4.5
Claude Haiku 4.5 scores 49.8 against 45.3.
3 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiniMax M2
MiniMax M2 leads, 18.6 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
MiniMax M2
MiniMax M2 leads, 1144 against 1122.
Same board, both measured
Long documents
Listed context window
MiniMax M2
MiniMax M2 takes 205K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2
Claude Haiku 4.5 $0.0035, MiniMax M2 $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Claude Haiku 4.5
Claude Haiku 4.5 $0.56, MiniMax M2 $0.702.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Haiku 4.5 49.8 from 3 benchmarks, MiniMax M2 45.3 from 2 benchmarks.
- Widest category
- Reasoning, 12.7 points apart on average over 3 shared benchmarks.
- Widest single gap
- LMArena Text: expert: Claude Haiku 4.5 1443 against MiniMax M2 1338, 17.6 points apart on a 0 to 100 scale.
- Output price
- Claude Haiku 4.5 $5.00 against MiniMax M2 $1.02 per million output tokens, 4.9x apart.
- Context window
- Claude Haiku 4.5 takes 200K tokens, MiniMax M2 205K.
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 | MiniMax M2 | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 3 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 0 | 7 | ||
| General | 15 | 0 | ||
| All shared boards | 31 | 8 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
| Benchmark | Claude Haiku 4.5 | MiniMax M2 | Leader |
|---|---|---|---|
| SWE-bench Verified | 66.6% | 61.0% | Claude Haiku 4.5 |
| 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 | 1297 | Claude Haiku 4.5 |
| 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 |
| 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 | 82.6% | Only MiniMax M2 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 25.8% | Only MiniMax M2 measured |
| Terminal-Bench | 35.5% | 30.0% | Claude Haiku 4.5 |
| WeirdML | 45.4% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: coding | 1454 | 1371 | Claude Haiku 4.5 |
| LMArena Text: software and IT | 1439 | 1373 | Claude Haiku 4.5 |
| LMArena WebDev: React | 1326 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena WebDev: HTML | 1318 | 1306 | Claude Haiku 4.5 |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Claude Haiku 4.5 | MiniMax M2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.9 | 18.6 | MiniMax M2 |
| 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 | MiniMax M2 | Leader |
|---|---|---|---|
| AA Agentic Index | 8.0 | Not measured | Only Claude Haiku 4.5 measured |
| 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 | 86.8% | Only MiniMax M2 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 | $161 | Claude Haiku 4.5 |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Claude Haiku 4.5 | MiniMax M2 | 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% | Not measured | Only Claude Haiku 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 77.7% | Only MiniMax M2 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 13.7% | Only MiniMax M2 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 | 1357 | Claude Haiku 4.5 |
| LMArena Text: expert | 1443 | 1338 | Claude Haiku 4.5 |
| LMArena Text: hard prompts in English | 1435 | 1376 | Claude Haiku 4.5 |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Haiku 4.5 | MiniMax M2 | 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 |
| AA Math Index | Not measured | 78.3 | Only MiniMax M2 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 78.3% | Only MiniMax M2 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 | 1351 | Claude Haiku 4.5 |
| LMArena Text: mathematical work | 1430 | 1368 | Claude Haiku 4.5 |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Haiku 4.5 | MiniMax M2 | 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% | Not measured | Only Claude Haiku 4.5 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 82.0% | Only MiniMax M2 measured |
| SimpleQA Verified | 13.2% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: science | 1406 | 1348 | Claude Haiku 4.5 |
| LMArena Text: medicine and healthcare | 1394 | 1367 | Claude Haiku 4.5 |
| LMArena Text: legal and government | 1400 | 1349 | Claude Haiku 4.5 |
| LMArena Text: business and finance | 1400 | 1336 | Claude Haiku 4.5 |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Claude Haiku 4.5 | MiniMax M2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1122 | 1144 | MiniMax M2 |
| Design Arena: UI components | 1100 | 1136 | MiniMax M2 |
| Design Arena: game dev | 1097 | 1119 | MiniMax M2 |
| Design Arena: data viz | 1124 | 1140 | MiniMax M2 |
| Design Arena: 3D | 1072 | 1098 | MiniMax M2 |
| Design Arena: all code categories | 1115 | 1135 | MiniMax M2 |
| Design Arena: SVG | 1025 | 1098 | MiniMax M2 |
| Design Arena: ASCII art | 1139 | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench design | 59.9% | Not measured | Only Claude Haiku 4.5 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
| Benchmark | Claude Haiku 4.5 | MiniMax M2 | 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 | 72.3% | Only MiniMax M2 measured |
| Long context reasoning (AA-LCR) | Not measured | 64.3% | Only MiniMax M2 measured |
| DTBench | 73.6% | Not measured | Only Claude Haiku 4.5 measured |
| LMCA | 30.9% | Not measured | Only Claude Haiku 4.5 measured |
| ExploitBench | 13.7% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text | 1397 | 1340 | Claude Haiku 4.5 |
| LMArena Text: instruction following | 1414 | 1329 | Claude Haiku 4.5 |
| LMArena Text: creative writing | 1371 | 1286 | Claude Haiku 4.5 |
| LMArena Text: English | 1414 | 1364 | Claude Haiku 4.5 |
| LMArena Text: non-English | 1377 | 1313 | Claude Haiku 4.5 |
| LMArena Text: Chinese | 1418 | 1366 | Claude Haiku 4.5 |
| LMArena Text: German | 1374 | 1357 | Claude Haiku 4.5 |
| 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 | 1336 | Claude Haiku 4.5 |
| LMArena Text: Spanish | 1421 | 1326 | Claude Haiku 4.5 |
| LMArena Text: Russian | 1381 | 1330 | Claude Haiku 4.5 |
| LMArena Text: Polish | 1343 | 1312 | Claude Haiku 4.5 |
| LMArena Text: multi-turn | 1409 | 1361 | Claude Haiku 4.5 |
| LMArena Text: longer queries | 1427 | 1331 | Claude Haiku 4.5 |
| LMArena Text: writing and language | 1386 | 1295 | Claude Haiku 4.5 |
| LMArena Text: entertainment and media | 1369 | 1298 | Claude Haiku 4.5 |
| LMArena Document | 1420 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Haiku 4.5 | MiniMax M2 | 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
MiniMax M2 costs less
Repository review
50K input + 3K output tokens
MiniMax M2 costs less
Agent loop
200K input + 10K output tokens
MiniMax M2 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 | MiniMax M2 |
|---|---|---|
| Maker | Anthropic | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | October 15, 2025 | October 23, 2025 |
| Context window | 200K | 205K |
| Input $/Mtok | $1.00 | $0.255 |
| Output $/Mtok | $5.00 | $1.02 |
| Coding index | 49.8 | 45.3 |
| Independent measurements behind it | 3 | 2 |
| Cost per solved task | $0.56 | $0.702 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 4.5 better than MiniMax M2 for coding?
Pick Claude Haiku 4.5 for coding: it scores 49.8 on the Vibe Coding Index against 45.3 for MiniMax M2. Pick MiniMax M2 when output tokens cost 4.9x less, or when the context window is larger, 205K against 200K tokens.
Which is cheaper, Claude Haiku 4.5 or MiniMax M2?
Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Per solved SWE-bench Verified task, Claude Haiku 4.5 costs $0.56 and MiniMax M2 $0.702.
Which has the bigger context window, Claude Haiku 4.5 or MiniMax M2?
MiniMax M2, with 205K tokens against 200K.
How many benchmarks is the Claude Haiku 4.5 vs MiniMax M2 comparison based on?
39 benchmarks have a result for both models as of October 21, 2026. Claude Haiku 4.5's coding index rests on 3 independent benchmarks and MiniMax M2's on 2. Where only one model has a result, the page says so instead of naming a winner.