Claude Sonnet 5.5 vs MiniMax M3
Updated October 21, 2026. 80 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 Sonnet 5.5 for coding: it scores 88.9 on the Vibe Coding Index against 57.8 for MiniMax M3.
Pick MiniMax M3 when output tokens cost 8.3x less, or when the context window is larger, 1.05M against 1M tokens.
- Shared results
- 80
- Claude Sonnet 5.5 only
- 15
- MiniMax M3 only
- 36
- 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 Sonnet 5.5
Claude Sonnet 5.5 scores 88.9 against 57.8.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Sonnet 5.5
Claude Sonnet 5.5 leads, 56.0 against 29.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only MiniMax M3 has a AA Agentic Index result, 29.5.
Directional only
Reasoning
GPQA Diamond
No call
Only MiniMax M3 has a GPQA Diamond result, 92.7%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M3 has a MMLU Pro result, 84.2%.
Directional only
Web design
Design Arena: websites
Claude Sonnet 5.5
Claude Sonnet 5.5 leads, 1326 against 1257.
Same board, both measured
General
Vals Index
No call
Only Claude Sonnet 5.5 has a Vals Index result, 70.8%.
Directional only
Long documents
Listed context window
MiniMax M3
MiniMax M3 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M3
Claude Sonnet 5.5 $0.0070, MiniMax M3 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M3 has the number, $0.56.
Directional only
At a glance
- Coding index
- Claude Sonnet 5.5 88.9 from 2 benchmarks, MiniMax M3 57.8 from 2 benchmarks.
- Widest category
- Math, 33.1 points apart on average over 4 shared benchmarks.
- Widest single gap
- ProofBench: Claude Sonnet 5.5 100.0% against MiniMax M3 18.0%, 82.0 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 5.5 $10.00 against MiniMax M3 $1.20 per million output tokens, 8.3x apart.
- Context window
- Claude Sonnet 5.5 takes 1M 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 Sonnet 5.5 | Bars | MiniMax M3 | Ties |
|---|---|---|---|---|
| Coding | 15 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 12 | 0 | ||
| Reasoning | 10 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 5 | 0 | ||
| Web design | 7 | 0 | ||
| General | 22 | 2 | ||
| All shared boards | 77 | 3 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index151
| Benchmark | Claude Sonnet 5.5 | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench coding | 94.7% | 70.9% | Claude Sonnet 5.5 |
| LMArena WebDev | 1768 | 1482 | Claude Sonnet 5.5 |
| AA Coding Index | Not measured | 58.6 | Only MiniMax M3 measured |
| LiveCodeBench (Vals AI) | Not measured | 82.2% | Only MiniMax M3 measured |
| SWE-bench Verified (Vals AI) | Not measured | 75.0% | Only MiniMax M3 measured |
| Terminal-Bench 4 (Vals AI) | 64.1% | 1.0% | Claude Sonnet 5.5 |
| Vibe Code Bench (Vals AI) | 92.4% | 47.6% | Claude Sonnet 5.5 |
| Code migration (Vals AI) | 69.8% | 19.9% | Claude Sonnet 5.5 |
| ProgramBench (Vals AI) | 6.5% | Not measured | Only Claude Sonnet 5.5 measured |
| IOI (Vals AI) | 83.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Terminal-Bench 2.1 (Vals AI) | 83.2% | 53.6% | Claude Sonnet 5.5 |
| SWE-bench Multimodal (Vals AI) | 58.3% | 33.3% | Claude Sonnet 5.5 |
| 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) | 59.6% | 65.0% | MiniMax M3 |
| SciCode | 61.0% | 47.1% | Claude Sonnet 5.5 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 42.4% | Only MiniMax M3 measured |
| FrontierCode | 52.1% | 14.7% | Claude Sonnet 5.5 |
| FrontierSWE | 61.9% | Not measured | Only Claude Sonnet 5.5 measured |
| ALE-Bench | 1819.1 | 640.0 | Claude Sonnet 5.5 |
| LMArena Text: coding | 1513 | 1470 | Claude Sonnet 5.5 |
| LMArena Text: software and IT | 1504 | 1466 | Claude Sonnet 5.5 |
| LMArena WebDev: React | 1817 | 1478 | Claude Sonnet 5.5 |
| LMArena WebDev: HTML | 1741 | 1455 | Claude Sonnet 5.5 |
| LMArena WebDev: from an image | 1737 | 1470 | Claude Sonnet 5.5 |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Sonnet 5.5 | MiniMax M3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 56.0 | 29.2 | Claude Sonnet 5.5 |
| Epoch Capabilities Index | 166.2 | 146.9 | Claude Sonnet 5.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index120
| Benchmark | Claude Sonnet 5.5 | MiniMax M3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 29.5 | Only MiniMax M3 measured |
| Design Arena: agents building web apps | 1303 | 1200 | Claude Sonnet 5.5 |
| Design Arena: agents building full-stack apps | Not measured | 1197 | Only MiniMax M3 measured |
| Design Arena: agents building mobile apps | 1265 | 1169 | Claude Sonnet 5.5 |
| Design Arena: agents building Android apps | Not measured | 1164 | Only MiniMax M3 measured |
| Design Arena: agents building games | Not measured | 1158 | Only MiniMax M3 measured |
| Design Arena: HTML slides | Not measured | 1180 | Only MiniMax M3 measured |
| Design Arena: PowerPoint slides | Not measured | 1205 | Only MiniMax M3 measured |
| Design Arena: spreadsheets | 1245 | 1021 | Claude Sonnet 5.5 |
| LiveBench research | 83.6% | 68.0% | Claude Sonnet 5.5 |
| LiveBench browser | 84.0% | 8.0% | Claude Sonnet 5.5 |
| LiveBench long agentic | 78.8% | 12.4% | Claude Sonnet 5.5 |
| SREBench (Vals AI) | 30.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Finance Agent (Vals AI) | 58.1% | 48.3% | Claude Sonnet 5.5 |
| Tax Agent Bench (Vals AI) | 42.0% | 20.6% | Claude Sonnet 5.5 |
| Legal Research Bench (Vals AI) | 48.1% | 29.8% | Claude Sonnet 5.5 |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.4% | Not measured | Only Claude Sonnet 5.5 measured |
| Excel Modeling Benchmark (Vals AI) | 75.7% | 47.8% | Claude Sonnet 5.5 |
| BioMysteryBench (Vals AI) | 81.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Terminal-Bench-Science (Vals AI) | 47.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Vals Science Index | 59.1% | Not measured | Only Claude Sonnet 5.5 measured |
| τ²-Bench Telecom | Not measured | 88.9% | Only MiniMax M3 measured |
| APEX-Agents | 75.5% | 37.7% | Claude Sonnet 5.5 |
| OSWorld 2.0 | Not measured | 4.6% | Only MiniMax M3 measured |
| SpireClimb | 1.3% | Not measured | Only Claude Sonnet 5.5 measured |
| Vending-Bench 2 | $11,165 | $2,158 | Claude Sonnet 5.5 |
| Neither model has a result on the other 13 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Claude Sonnet 5.5 | MiniMax M3 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 92.7% | Only MiniMax M3 measured |
| LiveBench reasoning | 91.6% | 74.5% | Claude Sonnet 5.5 |
| MysteryMechanism (Vals AI) | 49.1% | Not measured | Only Claude Sonnet 5.5 measured |
| MMMU Pro (Vals AI) | Not measured | 81.2% | Only MiniMax M3 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 92.9% | Only MiniMax M3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 55.0% | 39.0% | Claude Sonnet 5.5 |
| GPQA Diamond (Epoch AI run) | 95.6% | 90.9% | Claude Sonnet 5.5 |
| SimpleBench | Not measured | 45.8% | Only MiniMax M3 measured |
| Chess puzzles | 59.0% | 13.0% | Claude Sonnet 5.5 |
| Mystery game puzzles | 65.0% | 8.0% | Claude Sonnet 5.5 |
| LMArena Text: hard prompts | 1494 | 1447 | Claude Sonnet 5.5 |
| LMArena Text: expert | 1531 | 1461 | Claude Sonnet 5.5 |
| LMArena Text: hard prompts in English | 1502 | 1455 | Claude Sonnet 5.5 |
| LMArena Vision: diagrams | 1329 | 1266 | Claude Sonnet 5.5 |
| LMArena Vision: homework | 1331 | 1268 | Claude Sonnet 5.5 |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Sonnet 5.5 | MiniMax M3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 71.1% | Claude Sonnet 5.5 |
| FrontierMath, tiers 1 to 3 | 88.8% | Not measured | Only Claude Sonnet 5.5 measured |
| FrontierMath, tier 4 | 80.5% | Not measured | Only Claude Sonnet 5.5 measured |
| ProofBench | 100.0% | 18.0% | Claude Sonnet 5.5 |
| LMArena Text: math | 1497 | 1429 | Claude Sonnet 5.5 |
| LMArena Text: mathematical work | 1510 | 1448 | Claude Sonnet 5.5 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Claude Sonnet 5.5 | MiniMax M3 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 84.2% | Only MiniMax M3 measured |
| LegalBench (Vals AI) | Not measured | 85.4% | Only MiniMax M3 measured |
| CorpFin (Vals AI) | Not measured | 68.1% | Only MiniMax M3 measured |
| TaxEval (Vals AI) | Not measured | 72.7% | Only MiniMax M3 measured |
| MortgageTax (Vals AI) | Not measured | 68.4% | Only MiniMax M3 measured |
| MedCode (Vals AI) | 52.9% | 46.3% | Claude Sonnet 5.5 |
| SimpleQA Verified | 46.5% | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: science | 1483 | 1452 | Claude Sonnet 5.5 |
| LMArena Text: medicine and healthcare | 1464 | 1441 | Claude Sonnet 5.5 |
| LMArena Text: legal and government | 1483 | 1437 | Claude Sonnet 5.5 |
| LMArena Text: business and finance | 1468 | 1434 | Claude Sonnet 5.5 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Claude Sonnet 5.5 | MiniMax M3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1326 | 1257 | Claude Sonnet 5.5 |
| Design Arena: UI components | 1367 | 1246 | Claude Sonnet 5.5 |
| Design Arena: game dev | 1469 | 1210 | Claude Sonnet 5.5 |
| Design Arena: data viz | 1389 | 1235 | Claude Sonnet 5.5 |
| Design Arena: 3D | 1458 | 1209 | Claude Sonnet 5.5 |
| Design Arena: all code categories | 1364 | 1247 | Claude Sonnet 5.5 |
| Design Arena: SVG | Not measured | 1161 | Only MiniMax M3 measured |
| Design Arena: ASCII art | Not measured | 1161 | Only MiniMax M3 measured |
| LiveBench design | 85.0% | 66.2% | Claude Sonnet 5.5 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index222
| Benchmark | Claude Sonnet 5.5 | MiniMax M3 | Leader |
|---|---|---|---|
| Vals Index | 70.8% | Not measured | Only Claude Sonnet 5.5 measured |
| LiveBench data analysis | 59.5% | 76.2% | MiniMax M3 |
| Public Benefits Bench (Vals AI) | 67.2% | 64.1% | Claude Sonnet 5.5 |
| SAGE (Vals AI) | 51.8% | 50.6% | Claude Sonnet 5.5 |
| MedScribe (Vals AI) | 91.1% | 87.3% | Claude Sonnet 5.5 |
| Vals Multimodal Index | Not measured | 60.0% | Only MiniMax M3 measured |
| IFBench | Not measured | 82.9% | Only MiniMax M3 measured |
| Long context reasoning (AA-LCR) | 82.7% | 83.0% | MiniMax M3 |
| DTBench | 97.3% | 78.9% | Claude Sonnet 5.5 |
| LMCA | 68.3% | 33.7% | Claude Sonnet 5.5 |
| Surface Evolver Bench | Not measured | 55.0% | Only MiniMax M3 measured |
| Furniture assembly | 75.0% | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text | 1473 | 1433 | Claude Sonnet 5.5 |
| LMArena Text: instruction following | 1492 | 1433 | Claude Sonnet 5.5 |
| LMArena Text: creative writing | 1467 | 1404 | Claude Sonnet 5.5 |
| LMArena Vision | 1287 | 1251 | Claude Sonnet 5.5 |
| LMArena Text: English | 1484 | 1443 | Claude Sonnet 5.5 |
| LMArena Text: non-English | 1456 | 1420 | Claude Sonnet 5.5 |
| LMArena Text: Chinese | 1535 | 1466 | Claude Sonnet 5.5 |
| LMArena Text: German | Not measured | 1428 | Only MiniMax M3 measured |
| LMArena Text: Japanese | Not measured | 1380 | Only MiniMax M3 measured |
| LMArena Text: Korean | Not measured | 1373 | Only MiniMax M3 measured |
| LMArena Text: French | 1499 | 1444 | Claude Sonnet 5.5 |
| LMArena Text: Spanish | 1451 | 1433 | Claude Sonnet 5.5 |
| LMArena Text: Russian | 1454 | 1426 | Claude Sonnet 5.5 |
| LMArena Text: Polish | Not measured | 1423 | Only MiniMax M3 measured |
| LMArena Text: multi-turn | 1465 | 1443 | Claude Sonnet 5.5 |
| LMArena Text: longer queries | 1495 | 1446 | Claude Sonnet 5.5 |
| LMArena Text: writing and language | 1474 | 1419 | Claude Sonnet 5.5 |
| LMArena Text: entertainment and media | 1461 | 1403 | Claude Sonnet 5.5 |
| LMArena Vision: English | 1289 | 1263 | Claude Sonnet 5.5 |
| LMArena Vision: Chinese | Not measured | 1311 | Only MiniMax M3 measured |
| LMArena Vision: reading text | 1297 | 1259 | Claude Sonnet 5.5 |
| 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 | 1242 | 1234 | Claude Sonnet 5.5 |
| LMArena Document | Not measured | 1435 | Only MiniMax M3 measured |
| Neither model has a result on the other 9 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Sonnet 5.5 | 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 Sonnet 5.5 | MiniMax M3 |
|---|---|---|
| Maker | Anthropic | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | September 28, 2026 | May 31, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $2.00 | $0.30 |
| Output $/Mtok | $10.00 | $1.20 |
| Coding index | 88.9 | 57.8 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | Not computable | $0.56 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 5.5 better than MiniMax M3 for coding?
Pick Claude Sonnet 5.5 for coding: it scores 88.9 on the Vibe Coding Index against 57.8 for MiniMax M3. Pick MiniMax M3 when output tokens cost 8.3x less, or when the context window is larger, 1.05M against 1M tokens.
Which is cheaper, Claude Sonnet 5.5 or MiniMax M3?
Claude Sonnet 5.5 costs $2.00 per million input tokens and $10.00 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M3 only.
Which has the bigger context window, Claude Sonnet 5.5 or MiniMax M3?
MiniMax M3, with 1.05M tokens against 1M.
How many benchmarks is the Claude Sonnet 5.5 vs MiniMax M3 comparison based on?
80 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 5.5's coding index rests on 2 independent benchmarks and MiniMax M3's on 2. Where only one model has a result, the page says so instead of naming a winner.