Claude Haiku 4.5 vs MiniMax M3
MiniMax M3 leads Claude Haiku 4.5 on coding, 39.2 to 35.6 on the Vibe Coding Index, and MiniMax M3 costs 4.2x less per output token ($1.20 vs $5.00 per million). Updated October 22, 2026; 79 benchmarks have a result for both.
Claude Haiku 4.5 or MiniMax M3: which to pick
Pick MiniMax M3 for coding: it scores 39.2 on the Vibe Coding Index against 35.6 for Claude Haiku 4.5.
Pick Claude Haiku 4.5 for work measured by LiveBench browser, where it leads.
- Shared results
- 79
- Claude Haiku 4.5 only
- 19
- MiniMax M3 only
- 38
- 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
MiniMax M3
MiniMax M3 scores 39.2 against 35.6.
4 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiniMax M3
MiniMax M3 leads, 29.2 against 16.9.
Same board, both measured
Agentic work
AA Agentic Index
MiniMax M3
MiniMax M3 leads, 29.5 against 8.0.
Same board, both measured
Reasoning
GPQA Diamond
MiniMax M3
MiniMax M3 leads, 92.7% against 72.2%.
Same board, both measured
Math
AIME
No call
Only Claude Haiku 4.5 has a AIME result, 82.7%.
Directional only
Knowledge
MMLU Pro
MiniMax M3
MiniMax M3 leads, 84.2% against 78.7%.
Same board, both measured
Web design
Design Arena: websites
MiniMax M3
MiniMax M3 leads, 1257 against 1122.
Same board, both measured
Long documents
Listed context window
MiniMax M3
MiniMax M3 takes 1.05M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M3
Claude Haiku 4.5 $0.0035, MiniMax M3 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Claude Haiku 4.5 $0.56, MiniMax M3 $0.56.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Haiku 4.5 35.6 from 4 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
- Widest category
- Agentic work, 18.6 points apart on average over 9 shared benchmarks.
- Widest single gap
- LiveCodeBench (Vals AI): Claude Haiku 4.5 41.2% against MiniMax M3 82.2%, 41.0 points apart on a 0 to 100 scale.
- Output price
- Claude Haiku 4.5 $5.00 against MiniMax M3 $1.20 per million output tokens, 4.2x apart.
- Context window
- Claude Haiku 4.5 takes 200K tokens, MiniMax M3 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 | MiniMax M3 | Ties |
|---|---|---|---|---|
| Coding | 0 | 12 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 1 | 8 | ||
| Reasoning | 0 | 8 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 10 | ||
| Web design | 0 | 9 | ||
| General | 0 | 26 | ||
| All shared boards | 1 | 78 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index012
| Benchmark | Claude Haiku 4.5 | MiniMax M3 | 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% | 70.9% | MiniMax M3 |
| LMArena WebDev | 1330 | 1482 | MiniMax M3 |
| AA Coding Index | 43.9 | 58.6 | MiniMax M3 |
| LiveCodeBench (Vals AI) | 41.2% | 82.2% | MiniMax M3 |
| SWE-bench Verified (Vals AI) | 66.6% | 75.0% | MiniMax M3 |
| Terminal-Bench 4 (Vals AI) | Not measured | 1.0% | Only MiniMax M3 measured |
| Vibe Code Bench (Vals AI) | 11.4% | 47.6% | MiniMax M3 |
| Code migration (Vals AI) | 7.5% | 19.9% | MiniMax M3 |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Claude Haiku 4.5 measured |
| Terminal-Bench 2.1 (Vals AI) | 43.8% | 53.6% | MiniMax M3 |
| SWE-bench Multimodal (Vals AI) | Not measured | 33.3% | Only MiniMax M3 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 9.2% | Only MiniMax M3 measured |
| SkillsBench (Vals AI) | Not measured | 51.5% | Only MiniMax M3 measured |
| CyberBench (Vals AI) | Not measured | 65.0% | Only MiniMax M3 measured |
| SciCode | Not measured | 47.1% | Only MiniMax M3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 42.4% | Only MiniMax M3 measured |
| Terminal-Bench | 35.5% | Not measured | Only Claude Haiku 4.5 measured |
| FrontierCode | Not measured | 14.7% | Only MiniMax M3 measured |
| WeirdML | 45.4% | Not measured | Only Claude Haiku 4.5 measured |
| ALE-Bench | Not measured | 640.0 | Only MiniMax M3 measured |
| LMArena Text: coding | 1454 | 1470 | MiniMax M3 |
| LMArena Text: software and IT | 1439 | 1466 | MiniMax M3 |
| LMArena WebDev: React | 1326 | 1478 | MiniMax M3 |
| LMArena WebDev: HTML | 1318 | 1455 | MiniMax M3 |
| LMArena WebDev: from an image | Not measured | 1470 | Only MiniMax M3 measured |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Haiku 4.5 | MiniMax M3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.9 | 29.2 | MiniMax M3 |
| Epoch Capabilities Index | 142.2 | 146.9 | MiniMax M3 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index18
| Benchmark | Claude Haiku 4.5 | MiniMax M3 | Leader |
|---|---|---|---|
| AA Agentic Index | 8.0 | 29.5 | MiniMax M3 |
| Design Arena: agents building web apps | Not measured | 1200 | Only MiniMax M3 measured |
| Design Arena: agents building full-stack apps | Not measured | 1197 | Only MiniMax M3 measured |
| Design Arena: agents building mobile apps | Not measured | 1169 | Only MiniMax M3 measured |
| Design Arena: agents building Android apps | Not measured | 1158 | Only MiniMax M3 measured |
| Design Arena: agents building games | Not measured | 1159 | Only MiniMax M3 measured |
| Design Arena: HTML slides | Not measured | 1120 | Only MiniMax M3 measured |
| Design Arena: PowerPoint slides | Not measured | 1178 | Only MiniMax M3 measured |
| Design Arena: spreadsheets | Not measured | 1042 | Only MiniMax M3 measured |
| LiveBench research | 42.2% | 68.0% | MiniMax M3 |
| LiveBench browser | 40.0% | 8.0% | Claude Haiku 4.5 |
| LiveBench long agentic | 11.1% | 12.4% | MiniMax M3 |
| Finance Agent (Vals AI) | 31.0% | 48.3% | MiniMax M3 |
| Tax Agent Bench (Vals AI) | 5.9% | 20.6% | MiniMax M3 |
| Legal Research Bench (Vals AI) | 10.6% | 29.8% | MiniMax M3 |
| Excel Modeling Benchmark (Vals AI) | 22.7% | 47.8% | MiniMax M3 |
| τ²-Bench Telecom | Not measured | 88.9% | Only MiniMax M3 measured |
| APEX-Agents | Not measured | 37.7% | Only MiniMax M3 measured |
| OSWorld 2.0 | Not measured | 4.6% | Only MiniMax M3 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 | $2,158 | MiniMax M3 |
| Berkeley Function Calling Leaderboard (BFCL) | 68.7% | Not measured | Only Claude Haiku 4.5 measured |
| MCP Atlas | 40.2% | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Claude Haiku 4.5 | MiniMax M3 | Leader |
|---|---|---|---|
| GPQA Diamond | 72.2% | 92.7% | MiniMax M3 |
| LiveBench reasoning | 61.7% | 74.5% | MiniMax M3 |
| MMMU Pro (Vals AI) | 46.1% | 81.2% | MiniMax M3 |
| GPQA Diamond (Artificial Analysis run) | Not measured | 92.9% | Only MiniMax M3 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 39.0% | Only MiniMax M3 measured |
| GPQA Diamond (Epoch AI run) | 71.2% | 90.9% | MiniMax M3 |
| 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 |
| SimpleBench | Not measured | 45.8% | Only MiniMax M3 measured |
| Chess puzzles | 8.0% | 13.0% | MiniMax M3 |
| Mystery game puzzles | Not measured | 8.0% | Only MiniMax M3 measured |
| LMArena Text: hard prompts | 1421 | 1447 | MiniMax M3 |
| LMArena Text: expert | 1443 | 1461 | MiniMax M3 |
| LMArena Text: hard prompts in English | 1435 | 1455 | MiniMax M3 |
| LMArena Vision: diagrams | Not measured | 1266 | Only MiniMax M3 measured |
| LMArena Vision: homework | Not measured | 1268 | Only MiniMax M3 measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Claude Haiku 4.5 | MiniMax M3 | 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% | 71.1% | MiniMax M3 |
| ProofBench | Not measured | 18.0% | Only MiniMax M3 measured |
| MATH level 5 | 96.4% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: math | 1398 | 1429 | MiniMax M3 |
| LMArena Text: mathematical work | 1430 | 1448 | MiniMax M3 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index010
| Benchmark | Claude Haiku 4.5 | MiniMax M3 | Leader |
|---|---|---|---|
| MMLU Pro | 78.7% | 84.2% | MiniMax M3 |
| LegalBench (Vals AI) | 81.2% | 85.4% | MiniMax M3 |
| CaseLaw (Vals AI) | 56.5% | Not measured | Only Claude Haiku 4.5 measured |
| CorpFin (Vals AI) | 60.6% | 68.1% | MiniMax M3 |
| TaxEval (Vals AI) | 67.5% | 72.7% | MiniMax M3 |
| MortgageTax (Vals AI) | 62.2% | 68.4% | MiniMax M3 |
| MedQA (Vals AI) | 79.6% | Not measured | Only Claude Haiku 4.5 measured |
| MedCode (Vals AI) | 32.7% | 46.3% | MiniMax M3 |
| SimpleQA Verified | 13.2% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: science | 1406 | 1452 | MiniMax M3 |
| LMArena Text: medicine and healthcare | 1394 | 1441 | MiniMax M3 |
| LMArena Text: legal and government | 1400 | 1437 | MiniMax M3 |
| LMArena Text: business and finance | 1400 | 1434 | MiniMax M3 |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index09
| Benchmark | Claude Haiku 4.5 | MiniMax M3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1122 | 1257 | MiniMax M3 |
| Design Arena: UI components | 1097 | 1243 | MiniMax M3 |
| Design Arena: game dev | 1096 | 1210 | MiniMax M3 |
| Design Arena: data viz | 1124 | 1236 | MiniMax M3 |
| Design Arena: 3D | 1071 | 1208 | MiniMax M3 |
| Design Arena: all code categories | 1114 | 1246 | MiniMax M3 |
| Design Arena: SVG | 1025 | 1160 | MiniMax M3 |
| Design Arena: ASCII art | 1140 | 1161 | MiniMax M3 |
| LiveBench design | 59.9% | 66.2% | MiniMax M3 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index026
| Benchmark | Claude Haiku 4.5 | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench data analysis | 59.3% | 76.2% | MiniMax M3 |
| Public Benefits Bench (Vals AI) | 54.3% | 64.1% | MiniMax M3 |
| SAGE (Vals AI) | 31.8% | 50.6% | MiniMax M3 |
| MedScribe (Vals AI) | 85.2% | 87.3% | MiniMax M3 |
| Vals Multimodal Index | 42.9% | 60.0% | MiniMax M3 |
| IFBench | Not measured | 82.9% | Only MiniMax M3 measured |
| Long context reasoning (AA-LCR) | Not measured | 83.0% | Only MiniMax M3 measured |
| DTBench | 73.6% | 78.9% | MiniMax M3 |
| LMCA | 30.9% | 33.7% | MiniMax M3 |
| Surface Evolver Bench | Not measured | 55.0% | Only MiniMax M3 measured |
| ExploitBench | 13.7% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text | 1397 | 1433 | MiniMax M3 |
| LMArena Text: instruction following | 1414 | 1433 | MiniMax M3 |
| LMArena Text: creative writing | 1371 | 1404 | MiniMax M3 |
| LMArena Vision | Not measured | 1251 | Only MiniMax M3 measured |
| LMArena Text: English | 1414 | 1443 | MiniMax M3 |
| LMArena Text: non-English | 1377 | 1420 | MiniMax M3 |
| LMArena Text: Chinese | 1418 | 1466 | MiniMax M3 |
| LMArena Text: German | 1374 | 1428 | MiniMax M3 |
| LMArena Text: Japanese | 1338 | 1380 | MiniMax M3 |
| LMArena Text: Korean | 1346 | 1373 | MiniMax M3 |
| LMArena Text: French | 1411 | 1444 | MiniMax M3 |
| LMArena Text: Spanish | 1421 | 1433 | MiniMax M3 |
| LMArena Text: Russian | 1381 | 1426 | MiniMax M3 |
| LMArena Text: Polish | 1343 | 1423 | MiniMax M3 |
| LMArena Text: multi-turn | 1409 | 1443 | MiniMax M3 |
| LMArena Text: longer queries | 1427 | 1446 | MiniMax M3 |
| LMArena Text: writing and language | 1386 | 1419 | MiniMax M3 |
| LMArena Text: entertainment and media | 1369 | 1403 | MiniMax M3 |
| LMArena Vision: English | Not measured | 1263 | Only MiniMax M3 measured |
| LMArena Vision: Chinese | Not measured | 1311 | Only MiniMax M3 measured |
| LMArena Vision: reading text | Not measured | 1259 | Only MiniMax M3 measured |
| LMArena Vision: humor | Not measured | 1235 | Only MiniMax M3 measured |
| LMArena Vision: recognizing things | Not measured | 1197 | Only MiniMax M3 measured |
| LMArena Vision: creative writing | Not measured | 1234 | Only MiniMax M3 measured |
| LMArena Document | 1420 | 1435 | MiniMax M3 |
| MultiChallenge | 50.5% | Not measured | Only Claude Haiku 4.5 measured |
| EQ-Bench 4 | 1064 | 1150 | MiniMax M3 |
| 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 | MiniMax M3 | 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 M3 costs less
Repository review
50K input + 3K output tokens
MiniMax M3 costs less
Agent loop
200K input + 10K output tokens
MiniMax M3 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 M3 |
|---|---|---|
| Maker | Anthropic | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | October 15, 2025 | May 31, 2026 |
| Context window | 200K | 1.05M |
| Input $/Mtok | $1.00 | $0.30 |
| Output $/Mtok | $5.00 | $1.20 |
| Coding index | 35.6 | 39.2 |
| Independent measurements behind it | 4 | 6 |
| Cost per solved task | $0.56 | $0.56 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 4.5 better than MiniMax M3 for coding?
Pick MiniMax M3 for coding: it scores 39.2 on the Vibe Coding Index against 35.6 for Claude Haiku 4.5. Pick Claude Haiku 4.5 for work measured by LiveBench browser, where it leads.
Which is cheaper, Claude Haiku 4.5 or MiniMax M3?
Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Claude Haiku 4.5 costs $0.56 and MiniMax M3 $0.56.
Which has the bigger context window, Claude Haiku 4.5 or MiniMax M3?
MiniMax M3, with 1.05M tokens against 200K.
How many benchmarks is the Claude Haiku 4.5 vs MiniMax M3 comparison based on?
79 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 MiniMax M3's on 6. Where only one model has a result, the page says so instead of naming a winner.