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deepseek-v4-flash-0731 vs minimax-m3

Side-by-side comparison of deepseek-v4-flash-0731 and minimax-m3: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. deepseek-v4-flash-0731 outperforms minimax-m3 on 3 of 5 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
deepseek-v4-flash-073140.8%
minimax-m335.7%
Coding Indexcoding
deepseek-v4-flash-073169.1%
minimax-m358.6%
GPQA Diamondreasoning
deepseek-v4-flash-073190.8%
minimax-m392.9%
Terminal-Bench Hardagentic
deepseek-v4-flash-0731N/A
minimax-m342.4%
τ²-Benchagentic
deepseek-v4-flash-0731N/A
minimax-m388.9%
SciCodecoding
deepseek-v4-flash-073150.3%
minimax-m347.1%
Humanity's Last Examreasoning
deepseek-v4-flash-073138.6%
minimax-m339.0%

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

deepseek-v4-flash-0731minimax-m3
Input price / 1M$0.44$0.60$0.30
Output price / 1M$1.32$2.40$1.20
Context window1M tokens1M tokens
Max output384K tokens128K tokens
Vision inputN/AYes
Tool callingYesYes
ReasoningN/AYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderDeepSeekMiniMax

Questions people ask

Is deepseek-v4-flash-0731 better than minimax-m3?
deepseek-v4-flash-0731 outperforms minimax-m3 on 3 of 5 shared benchmarks. See the benchmark comparison above for specifics: deepseek-v4-flash-0731 and minimax-m3 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-v4-flash-0731 or minimax-m3?
minimax-m3 is cheaper. deepseek-v4-flash-0731 costs $0.44/$1.32 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-v4-flash-0731 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 "deepseek/deepseek-v4-flash-0731" and "minimaxi/minimax-m3", no other code changes needed.
What are the context windows?
deepseek-v4-flash-0731 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 deepseek-v4-flash-0731 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.