minimax-m3 vs deepseek-v3.2
Side-by-side comparison of minimax-m3 and deepseek-v3.2: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. minimax-m3 outperforms deepseek-v3.2 on 5 of 6 shared benchmarks.
MiniMax50% off
minimax-m3
Input / 1M
$0.60$0.30
Output / 1M
$2.40$1.20
Context
1M
Model ID
minimaxi/minimax-m3
deepseek-v3.2
Input / 1M
$0.56
Output / 1M
$1.68
Context
164K
Model ID
vertex/deepseek-v3.2
Benchmark comparison
Intelligence Indexreasoning
minimax-m335.7%
deepseek-v3.225.3%
Coding Indexcoding
minimax-m358.6%
deepseek-v3.244.2%
Math Indexmath
minimax-m3N/A
deepseek-v3.292.0%
GPQA Diamondreasoning
minimax-m392.9%
deepseek-v3.284.0%
AIME 2025math
minimax-m3N/A
deepseek-v3.292.0%
LiveCodeBenchcoding
minimax-m3N/A
deepseek-v3.286.2%
Terminal-Bench Hardagentic
minimax-m342.4%
deepseek-v3.235.6%
τ²-Benchagentic
minimax-m388.9%
deepseek-v3.290.6%
SciCodecoding
minimax-m347.1%
deepseek-v3.2N/A
MMLU Proknowledge
minimax-m3N/A
deepseek-v3.286.2%
Humanity's Last Examreasoning
minimax-m339.0%
deepseek-v3.224.6%
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-v3.2 | |
|---|---|---|
| Input price / 1M | $0.60$0.30 | $0.56 |
| Output price / 1M | $2.40$1.20 | $1.68 |
| Context window | 1M tokens | 164K tokens |
| Max output | 128K tokens | 66K tokens |
| Vision input | Yes | N/A |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | MiniMax | Google LLC (Vertex AI) |
Questions people ask
Is minimax-m3 better than deepseek-v3.2?
minimax-m3 outperforms deepseek-v3.2 on 5 of 6 shared benchmarks. See the benchmark comparison above for specifics: minimax-m3 and deepseek-v3.2 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, minimax-m3 or deepseek-v3.2?
minimax-m3 is cheaper. minimax-m3 costs $0.30/$1.20 per 1M input/output tokens, while deepseek-v3.2 costs $0.56/$1.68. 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 minimax-m3 and deepseek-v3.2 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 "vertex/deepseek-v3.2", no other code changes needed.
What are the context windows?
minimax-m3 supports up to 1M tokens of context. deepseek-v3.2 supports up to 164K 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-v3.2 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.