Model Comparison
M3
vs. Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
Comparing 2 AI models · 0 benchmarks · MiniMax, Anthropic
Recommended Pick
MiM37 metric winsStrongest on: Value, Input price, Output price
Best Value
M3
100.0 value score
45.4 reasoning / $0.52/1M
Lowest Price
M3
$0.30/1M input price
Best Reasoning
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
62.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
77.0 coding index
Differences That Matter
Best value
M3 has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
M3 is 16.7x cheaper on input tokens than Claude Opus 5 (Adaptive Reasoning, Xhigh Effort).
Speed gap
M3 generates about 2.4x as many tokens per second as Claude Opus 5 (Adaptive Reasoning, Xhigh Effort).
Reasoning gap
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) leads M3 by 17.1 points on reasoning.
Coding gap
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) leads M3 by 18.4 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
M3
MiniMax
TTFT
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Time
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tok/s
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Tokens
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Cost
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Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
Anthropic
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Top Pick Mi M3 | An Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.30/1M | $5.00/1M |
| Output Cost | $1.20/1M | $25.00/1M |
| Blended (3:1) | $0.52/1M | $10.00/1M |
| Specifications | ||
| Organization | MiniMax | Anthropic |
| Release Date | Jun 1, 2026 | Jul 24, 2026 |
| Performance & Speed | ||
| Throughput | 126.1 tok/s | 53.3 tok/s |
| TTFT | 1340ms | 32670ms |
| Latency | 17200ms | 32670ms |
| Composite Indices | ||
| Value Score | 100.0 | 7.2 |
| Reasoning Score | 45.4 | 62.5 |
| Intelligence | 45.4 | 62.5 |
| Coding | 58.6 | 77.0 |
Key Takeaways
M3 offers the best value at $0.30/1M,making it ideal for high-volume applications and cost-conscious projects.
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) has the strongest reasoning profile with a 62.5 reasoning score,combining the available reasoning-heavy benchmarks.
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) reaches a 77.0 coding index,making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
M3
- Cost-sensitive applications
- High-volume processing
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
