Claude Opus 5.5 vs MiniMax-M3
Published test results, prices, limits and features, side by side. Share the link to show someone exactly this comparison.
- Claude Opus 5.5Anthropic
- MiniMax-M3MiniMax
At a glance
Capability index
Claude Opus 5.5167.3
MiniMax-M3146.9
Claude Opus 5.5 is 20.4 points higher.
Price per 1M tokens
Claude Opus 5.5$8.00
MiniMax-M3$0.525
MiniMax-M3 is 15 times cheaper.
Context window
Claude Opus 5.51M tokens
MiniMax-M31M tokens
They take in about the same.
Released
Claude Opus 5.5Sep 22, 2026
MiniMax-M3Jun 1, 2026
Claude Opus 5.5 is 4 months newer.
Where each scores higher
On the 17 tests both have taken, each on its own scale. A gap of a point or two can sit within a test’s margin of error.
Claude Opus 5.5
- LiveBench overall+16.0 points
- Arena text+64 points
- LiveBench coding+21.0 points
- Arena WebDev+333 points
- Arena coding+44 points
- LiveBench mathematics+20.1 points
- Mock AIME 2024–2025+28.9 points
- Arena math+79 points
- LiveBench agentic coding+31.1 points
- LiveBench language+9.4 points
- LiveBench instructions+9.5 points
- Arena creative writing+110 points
- Arena instruction following+83 points
- LiveBench data analysis+4.1 points
- LiveBench reasoning+17.7 points
- Arena hard prompts+72 points
MiniMax-M3
- GPQA Diamond+0.3 points
5 more tests have results for only one of them; the table below lists every result.
Everything side by side
| Measure | ||
|---|---|---|
| Model | ||
| Maker | Anthropic | MiniMax |
| Sold here by | Anthropic | MiniMax (minimax.io) |
| API model ID | claude-opus-5-5 | MiniMax-M3 |
| Released | Sep 22, 2026 | Jun 1, 2026 |
| Knowledge cutoff | Jun 2026 | Jan 2025 |
| Weights | Closed: hosted access only | Open: downloadable |
| Developer’s country | United States | China |
| Hosts selling it | 35including Anthropic directly | 56including MiniMax directly |
| Test results | ||
| Capability index | 167.3 (best of these models)#1 of 274 | 146.9#68 of 274 |
| LiveBench overall | 83.2% (best of these models)#2 of 66 | 67.3%#61 of 66 |
| Arena text | 1504 (best of these models)#4 of 413 | 1440#96 of 413 |
| LiveBench coding | 89.3% (best of these models)#2 of 66 | 68.2%#64 of 66 |
| Arena WebDev | 1815 (best of these models)#1 of 138 | 1482#58 of 138 |
| Arena coding | 1539 (best of these models)#12 of 408 | 1494#86 of 408 |
| LiveBench mathematics | 97.1% (best of these models)#1 of 66 | 77.0%#65 of 66 |
| Mock AIME 2024–2025 | 100.0% (best of these models)#1 of 297 | 71.1%#133 of 297 |
| FrontierMath Tiers 1–3 | 91.2%#3 of 114 | Not tested |
| FrontierMath Tier 4 | 95.0%#6 of 70 | Not tested |
| Arena math | 1511 (best of these models)#8 of 396 | 1432#102 of 396 |
| SimpleQA Verified | 72.2%#4 of 86 | Not tested |
| LiveBench agentic coding | 71.7% (best of these models)#2 of 66 | 40.7%#60 of 66 |
| CursorBench | 57.8%#1 of 62 | Not tested |
| LiveBench language | 86.3% (best of these models)#10 of 66 | 76.8%#45 of 66 |
| LiveBench instructions | 67.0% (best of these models)#39 of 66 | 57.5%#61 of 66 |
| Arena creative writing | 1516 (best of these models)#2 of 411 | 1406#99 of 411 |
| Arena instruction following | 1517 (best of these models)#2 of 413 | 1434#88 of 413 |
| LiveBench data analysis | 80.3% (best of these models)#7 of 66 | 76.2%#34 of 66 |
| LiveBench reasoning | 92.2% (best of these models)#3 of 66 | 74.5%#61 of 66 |
| GPQA Diamond | 90.6%#40 of 319 | 90.9% (best of these models)#34 of 319 |
| Arena hard prompts | 1534 (best of these models)#2 of 413 | 1463#90 of 413 |
| Chess puzzles | Not tested | 14.0%#113 of 227 |
| Price per million tokens | ||
| Input | $4.00 | $0.30 (best of these models) |
| Output | $20.00 | $1.20 (best of these models) |
| Blended, 3 input to 1 output | $8.00 | $0.525 (best of these models) |
| Cached input | $0.20 | $0.06 (best of these models) |
| Writing to the cache | $5.00 | Not reported |
| Long requests | No separate price reported | $0.60 in, $2.40 outabove 512K tokens |
| The maker’s own price | This listing | This listing |
| Limits | ||
| Context window | 1M tokens | 1M tokens |
| Max input | 1M tokens (best of these models) | 512K tokens |
| Max output | 128K tokens | 512K tokens (best of these models) |
| Features | ||
| Reads | images, PDFs and text | images, text and video |
| Produces | text | text |
| Reasoning | Yeseffort low, medium, high, xhigh, max; can be switched off | Yeseffort low, medium, high; can be switched off; thinking budget can be set |
| Tool calling | Yes | Yes |
| Structured output | Yes, such as JSON | Yes, such as JSON |
| File attachments | Yes | Yes |
| Temperature setting | Fixed by the provider | Supported |
Bold marks the better value in each row. Prices are each model’s own list price, or the middle price across hosts when the maker does not sell it, blended as three input tokens for every output token. Test results as published by LiveBench (Apache-2.0), Epoch AI (CC BY 4.0), Cursor CursorBench, compiled by Epoch AI (CC BY 4.0), Arena (CC BY 4.0); model details and prices from models.dev (MIT). Confirm pricing with the provider before use.