MiniMax vs Claude: coding, reasoning and price
Choose MiniMax-M3.1-Flash for about 29× lower request cost on Novita AI ($0.0021 vs $0.0600 for Claude Opus 5.5) with faster AA output speed (116.2 vs 96.8 tokens/s); choose Claude for agentic coding, where it leads Terminal-Bench 4.0 by 33.8 pp (59.6% vs 25.8%).
| Dimension | Winner | Margin | Evidence |
|---|---|---|---|
| Coding benchmark | Claude Opus 5.5 | 33.8 pp | Terminal-Bench 4.0: Claude 59.6% vs MiniMax 25.8%12 |
| Reasoning benchmark | Claude Opus 5.5 | 13.4 pp | HLE: Claude 61.4% vs MiniMax 48.0%12 |
| Output speed (tokens/s) | MiniMax-M3.1-Flash | 19.4 tokens/s | MiniMax 116.2 vs Claude 96.8 tokens/s12 |
| Estimated request cost | MiniMax-M3.1-Flash | $0.0579 | MiniMax $0.0021 vs Claude $0.060034 |
Coding and reasoning benchmarks
Performance
Prices and request cost
| Metric | MiniMax-M3.1-Flash | Claude Opus 5.5 |
|---|---|---|
| Input / 1M tokens34 | $0.15 | $4.00 |
| Output / 1M tokens34 | $0.60 | $20.00 |
| Context window (tokens)34 | 1,000,000 | 1,000,000 |
When each option fits
MiniMax-M3.1-Flash
- For high-volume requests, MiniMax-M3.1-Flash on Novita AI costs $0.15 input and $0.60 output per 1M tokens; the example request is $0.0021, about 29× less than Claude.34
- Its AA output speed of 116.2 tokens/s is about 20% above Claude’s 96.8, and its median time to first answer token is 18.3 s versus 676.8 s, so the lower price comes with faster responses in AA’s reference.12
- MiniMax-M3.1-Flash’s smallest benchmark gap is HLE, 48.0% versus 61.4% (13.4 pp).12
Claude Opus 5.5
- For terminal-based coding agents, Claude leads Terminal-Bench 4.0 by 33.8 pp, 59.6% versus 25.8%, the widest gap on this page.12
- For scientific coding, Claude’s SciCode result is 66.9% versus 53.4%, a 13.5 pp lead.12
- Context is equal: Novita AI lists 1,000,000 tokens for MiniMax-M3.1-Flash and Anthropic lists 1,000,000 for Claude.34
Methodology and sources
AA uses the named reasoning configurations; Claude Opus 5.5 is Max with default fallback.123
Coding and reasoning rows use the same AA evaluation versions: Terminal-Bench 4.0, HLE and SciCode. The available official reports do not provide this exact current model pair under a common setup. AA output speed and time to first answer token are model references, not Novita endpoint guarantees; the latter is AA’s median for its 10,000-input-token prompt and includes reasoning for both models. Prices and context windows are Novita AI’s listed values for MiniMax-M3.1-Flash and Anthropic’s for Claude Opus 5.5; the uncached example uses 10,000 input and 1,000 billed output tokens.
Costs are estimates at listed rates for uncached synchronous requests, not measured invoices; billed output includes reasoning. Tax, retries, discounts and negotiated capacity are excluded. Novita AI publishes this page using public sources, without a private workload benchmark.
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