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minimax-m3 vs deepseek-r1

Side-by-side comparison of minimax-m3 and deepseek-r1: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. minimax-m3 outperforms deepseek-r1 on 7 of 7 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
minimax-m354.7%
deepseek-r127.1%
Coding Indexcoding
minimax-m343.4%
deepseek-r124.0%
Math Indexmath
minimax-m3N/A
deepseek-r176.0%
GPQA Diamondreasoning
minimax-m392.9%
deepseek-r181.3%
AIME 2025math
minimax-m3N/A
deepseek-r176.0%
LiveCodeBenchcoding
minimax-m3N/A
deepseek-r177.0%
Terminal-Bench Hardagentic
minimax-m342.4%
deepseek-r115.9%
τ²-Benchagentic
minimax-m388.9%
deepseek-r136.5%
SciCodecoding
minimax-m345.4%
deepseek-r140.3%
MMLU Proknowledge
minimax-m3N/A
deepseek-r184.9%
Humanity's Last Examreasoning
minimax-m337.1%
deepseek-r114.9%

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-m3deepseek-r1
Input price / 1M$0.30$4.00
Output price / 1M$1.20$4.00
Context window1M tokens64K tokens
Max output128K tokensN/A
Vision inputYesN/A
Tool callingYesYes
ReasoningYesN/A
Prompt cachingYesN/A
Computer useN/AN/A
ProviderMiniMaxNovita AI

Questions people ask

Is minimax-m3 better than deepseek-r1?
minimax-m3 outperforms deepseek-r1 on 7 of 7 shared benchmarks. See the benchmark comparison above for specifics: minimax-m3 and deepseek-r1 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, minimax-m3 or deepseek-r1?
minimax-m3 is cheaper. minimax-m3 costs $0.30/$1.20 per 1M input/output tokens, while deepseek-r1 costs $4.00/$4.00.
Can I use minimax-m3 and deepseek-r1 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 "novita/deepseek/deepseek-r1", no other code changes needed.
What are the context windows?
minimax-m3 supports up to 1M tokens of context. deepseek-r1 supports up to 64K 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 deepseek-r1 with one line of code

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