Models / Compare /DeepSeek V3.2 vs MiniMax M2.5
Head to head
DeepSeek V3.2 vs MiniMax M2.5
Compared on live catalog data — pricing synced daily, benchmark scores with provenance.
The short version
- DeepSeek V3.2 is cheaper to run hosted: $0.40/M output vs $0.90/M for MiniMax M2.5 (2.3× difference at the cheapest tracked provider).
- MiniMax M2.5 takes 205K tokens of context vs 164K for DeepSeek V3.2.
- DeepSeek V3.2 has downloadable weights (OPEN) so you can self-host it; we hold no downloadable copy of MiniMax M2.5, so it runs through a provider's API.
- DeepSeek V3.2 scores 1469.5929 on Arena Coding vs 1444.2371 for MiniMax M2.5.
- DeepSeek V3.2 scores 1400.3738 on Arena Creative Writing vs 1357.2777 for MiniMax M2.5.
| Spec | ||
|---|---|---|
| Vendor | DeepSeek | MiniMax |
| Parameters | 685B / 37B | 229B |
| 164K | 205K | |
| Weights | OPEN | OPEN* |
| License | MIT License | Custom licence |
| Modality | text->text | text->text |
| Released | Dec 1, 2025 | Feb 12, 2026 |
| 432.1 GBest | 144.2 GBest | |
| Cheapest hosted | $0.27 / $0.40 per 1M (Novita AI) | $0.15 / $0.90 per 1M (OpenRouter) |
| Tracked providers | 19 | 17 |
DeepSeek V3.2 — our take
DeepSeek V3.2 is a large downloadable text model with a permissive MIT licence and a 163,840-token request limit. Only 37 billion of its 685.4 billion total parameters are active per token, keeping inference costs down while measured coding performance is the clear peak in its benchmark profile.
full breakdown →MiniMax M2.5 — our take
MiniMax M2.5 is a large text-only model with 228.7 billion parameters, released in early 2026. Its standout feature is a coding score that sits well above its general chat rating, though a custom restricted licence and lack of multimodal support limit where it fits.
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