claude-sonnet-4-6 vs minimax-m3
Side-by-side comparison of claude-sonnet-4-6 and minimax-m3: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. minimax-m3 outperforms claude-sonnet-4-6 on 4 of 7 shared benchmarks.
claude-sonnet-4-6
Input / 1M
$3.00
Output / 1M
$15.00
Context
1M
Model ID
anthropic/claude-sonnet-4-6
MiniMax
minimax-m3
Input / 1M
$0.30
Output / 1M
$1.20
Context
1M
Model ID
minimaxi/minimax-m3
Benchmark comparison
Intelligence Indexreasoning
claude-sonnet-4-651.7%
minimax-m354.7%
Coding Indexcoding
claude-sonnet-4-650.9%
minimax-m343.4%
GPQA Diamondreasoning
claude-sonnet-4-687.5%
minimax-m392.9%
Terminal-Bench Hardagentic
claude-sonnet-4-653.0%
minimax-m342.4%
τ²-Benchagentic
claude-sonnet-4-675.7%
minimax-m388.9%
SciCodecoding
claude-sonnet-4-646.8%
minimax-m345.4%
Humanity's Last Examreasoning
claude-sonnet-4-630.0%
minimax-m337.1%
Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.
Pricing & specifications
| claude-sonnet-4-6 | minimax-m3 | |
|---|---|---|
| Input price / 1M | $3.00 | $0.30 |
| Output price / 1M | $15.00 | $1.20 |
| Context window | 1M tokens | 1M tokens |
| Max output | 64K tokens | 128K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | Yes | N/A |
| Provider | Anthropic PBC | MiniMax |
Questions people ask
Is claude-sonnet-4-6 better than minimax-m3?
minimax-m3 outperforms claude-sonnet-4-6 on 4 of 7 shared benchmarks. See the benchmark comparison above for specifics: claude-sonnet-4-6 and minimax-m3 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, claude-sonnet-4-6 or minimax-m3?
minimax-m3 is cheaper. claude-sonnet-4-6 costs $3.00/$15.00 per 1M input/output tokens, while minimax-m3 costs $0.30/$1.20.
Can I use claude-sonnet-4-6 and minimax-m3 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "anthropic/claude-sonnet-4-6" and "minimaxi/minimax-m3", no other code changes needed.
What are the context windows?
claude-sonnet-4-6 supports up to 1M tokens of context. minimax-m3 supports up to 1M tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.
Switch between claude-sonnet-4-6 and minimax-m3 with one line of code
Requesty provides a single OpenAI-compatible API for 400+ models. Change the model parameter, not your code.
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