minimax-m3 vs deepseek-v4-flash
Side-by-side comparison of minimax-m3 and deepseek-v4-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. deepseek-v4-flash outperforms minimax-m3 on 3 of 5 shared benchmarks.
MiniMax
minimax-m3
Input / 1M
$0.30
Output / 1M
$1.20
Context
1M
Model ID
minimaxi/minimax-m3
deepseek-v4-flash
Input / 1M
$0.14
Output / 1M
$0.28
Context
1.0M
Model ID
novita/deepseek/deepseek-v4-flash
Benchmark comparison
Intelligence Indexreasoning
minimax-m345.4%
deepseek-v4-flash51.8%
Coding Indexcoding
minimax-m358.6%
deepseek-v4-flash69.1%
GPQA Diamondreasoning
minimax-m392.9%
deepseek-v4-flash90.8%
Terminal-Bench Hardagentic
minimax-m342.4%
deepseek-v4-flashN/A
τ²-Benchagentic
minimax-m388.9%
deepseek-v4-flashN/A
SciCodecoding
minimax-m345.4%
deepseek-v4-flash49.9%
Humanity's Last Examreasoning
minimax-m339.0%
deepseek-v4-flash38.6%
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 | deepseek-v4-flash | |
|---|---|---|
| Input price / 1M | $0.30 | $0.14 |
| Output price / 1M | $1.20 | $0.28 |
| Context window | 1M tokens | 1.0M tokens |
| Max output | 128K tokens | N/A |
| Vision input | Yes | N/A |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | N/A |
| Computer use | N/A | N/A |
| Provider | MiniMax | Novita AI |
Questions people ask
Is minimax-m3 better than deepseek-v4-flash?
deepseek-v4-flash outperforms minimax-m3 on 3 of 5 shared benchmarks. See the benchmark comparison above for specifics: minimax-m3 and deepseek-v4-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, minimax-m3 or deepseek-v4-flash?
deepseek-v4-flash is cheaper. minimax-m3 costs $0.30/$1.20 per 1M input/output tokens, while deepseek-v4-flash costs $0.14/$0.28.
Can I use minimax-m3 and deepseek-v4-flash 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-v4-flash", no other code changes needed.
What are the context windows?
minimax-m3 supports up to 1M tokens of context. deepseek-v4-flash supports up to 1.0M 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-v4-flash with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.