minimax-m3 vs GLM-5.1
Side-by-side comparison of minimax-m3 and GLM-5.1: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. minimax-m3 outperforms GLM-5.1 on 4 of 6 shared benchmarks.
MiniMax
minimax-m3
Input / 1M
$0.30
Output / 1M
$1.20
Context
1M
Model ID
minimaxi/minimax-m3
GLM-5.1
Input / 1M
$1.40
Output / 1M
$4.40
Context
200K
Model ID
zai/GLM-5.1
Benchmark comparison
Intelligence Indexreasoning
minimax-m354.7%
GLM-5.151.4%
Coding Indexcoding
minimax-m343.4%
GLM-5.143.4%
GPQA Diamondreasoning
minimax-m392.9%
GLM-5.186.8%
Terminal-Bench Hardagentic
minimax-m342.4%
GLM-5.143.2%
τ²-Benchagentic
minimax-m388.9%
GLM-5.197.7%
SciCodecoding
minimax-m345.4%
GLM-5.143.8%
Humanity's Last Examreasoning
minimax-m337.1%
GLM-5.128.0%
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
| minimax-m3 | GLM-5.1 | |
|---|---|---|
| Input price / 1M | $0.30 | $1.40 |
| Output price / 1M | $1.20 | $4.40 |
| Context window | 1M tokens | 200K tokens |
| Max output | 128K tokens | 128K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | MiniMax | Z.ai |
Questions people ask
Is minimax-m3 better than GLM-5.1?
minimax-m3 outperforms GLM-5.1 on 4 of 6 shared benchmarks. See the benchmark comparison above for specifics: minimax-m3 and GLM-5.1 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, minimax-m3 or GLM-5.1?
minimax-m3 is cheaper. minimax-m3 costs $0.30/$1.20 per 1M input/output tokens, while GLM-5.1 costs $1.40/$4.40.
Can I use minimax-m3 and GLM-5.1 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "minimaxi/minimax-m3" and "zai/GLM-5.1", no other code changes needed.
What are the context windows?
minimax-m3 supports up to 1M tokens of context. GLM-5.1 supports up to 200K 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 minimax-m3 and GLM-5.1 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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