deepseek-ai/DeepSeek-R1 vs minimax-m3
Side-by-side comparison of deepseek-ai/DeepSeek-R1 and minimax-m3: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.
deepseek-ai/DeepSeek-R1
Input / 1M
$0.85
Output / 1M
$2.50
Context
64K
Model ID
deepinfra/deepseek-ai/DeepSeek-R1
MiniMax50% off
minimax-m3
Input / 1M
$0.60$0.30
Output / 1M
$2.40$1.20
Context
1M
Model ID
minimaxi/minimax-m3
Benchmark comparison
Intelligence Indexreasoning
deepseek-ai/DeepSeek-R1N/A
minimax-m318.9%
GPQA Diamondreasoning
deepseek-ai/DeepSeek-R1N/A
minimax-m392.9%
Terminal-Bench Hardagentic
deepseek-ai/DeepSeek-R1N/A
minimax-m342.4%
τ²-Benchagentic
deepseek-ai/DeepSeek-R1N/A
minimax-m388.9%
SciCodecoding
deepseek-ai/DeepSeek-R1N/A
minimax-m345.4%
Humanity's Last Examreasoning
deepseek-ai/DeepSeek-R1N/A
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
| deepseek-ai/DeepSeek-R1 | minimax-m3 | |
|---|---|---|
| Input price / 1M | $0.85 | $0.60$0.30 |
| Output price / 1M | $2.50 | $2.40$1.20 |
| Context window | 64K tokens | 1M tokens |
| Max output | 8K tokens | 128K tokens |
| Vision input | N/A | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | N/A | Yes |
| Computer use | N/A | N/A |
| Provider | DeepInfra | MiniMax |
Questions people ask
Is deepseek-ai/DeepSeek-R1 better than minimax-m3?
Benchmark data is limited for one or both models. Compare pricing and capabilities in the tables above, and test both on your own workload.
Which is cheaper, deepseek-ai/DeepSeek-R1 or minimax-m3?
minimax-m3 is cheaper. deepseek-ai/DeepSeek-R1 costs $0.85/$2.50 per 1M input/output tokens, while minimax-m3 costs $0.30/$1.20. The prices shown are what you pay: minimax-m3 runs at 50% off its list rate of $0.60 per 1M input and $2.40 per 1M output.
Can I use deepseek-ai/DeepSeek-R1 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 "deepinfra/deepseek-ai/DeepSeek-R1" and "minimaxi/minimax-m3", no other code changes needed.
What are the context windows?
deepseek-ai/DeepSeek-R1 supports up to 64K 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 deepseek-ai/DeepSeek-R1 and minimax-m3 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.