deepseek-v4-flash vs minimax-m3
Side-by-side comparison of deepseek-v4-flash and minimax-m3: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. minimax-m3 outperforms deepseek-v4-flash on 6 of 7 shared benchmarks.
deepseek-v4-flash
Input / 1M
$0.14
Output / 1M
$0.28
Context
1M
Model ID
deepseek/deepseek-v4-flash
MiniMax
minimax-m3
Input / 1M
$0.30
Output / 1M
$1.20
Context
1M
Model ID
minimaxi/minimax-m3
Benchmark comparison
Intelligence Indexreasoning
deepseek-v4-flash46.5%
minimax-m354.7%
Coding Indexcoding
deepseek-v4-flash38.7%
minimax-m343.4%
GPQA Diamondreasoning
deepseek-v4-flash89.4%
minimax-m392.9%
Terminal-Bench Hardagentic
deepseek-v4-flash35.6%
minimax-m342.4%
τ²-Benchagentic
deepseek-v4-flash95.0%
minimax-m388.9%
SciCodecoding
deepseek-v4-flash44.9%
minimax-m345.4%
Humanity's Last Examreasoning
deepseek-v4-flash32.1%
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-v4-flash | minimax-m3 | |
|---|---|---|
| Input price / 1M | $0.14 | $0.30 |
| Output price / 1M | $0.28 | $1.20 |
| Context window | 1M tokens | 1M tokens |
| Max output | 384K tokens | 128K tokens |
| Vision input | N/A | Yes |
| Tool calling | Yes | Yes |
| Reasoning | N/A | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | DeepSeek | MiniMax |
Questions people ask
Is deepseek-v4-flash better than minimax-m3?
minimax-m3 outperforms deepseek-v4-flash on 6 of 7 shared benchmarks. See the benchmark comparison above for specifics: deepseek-v4-flash and minimax-m3 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-v4-flash or minimax-m3?
deepseek-v4-flash is cheaper. deepseek-v4-flash costs $0.14/$0.28 per 1M input/output tokens, while minimax-m3 costs $0.30/$1.20.
Can I use deepseek-v4-flash 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" and "minimaxi/minimax-m3", no other code changes needed.
What are the context windows?
deepseek-v4-flash 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 and minimax-m3 with one line of code
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