comparison
MiniMax M2.5 vs gpt-oss-120b
Token pricing, context window and real monthly cost, side by side. gpt-oss-120b is the cheaper of the two for a typical workload — about 1.8× less.
Positioned by published specs — size, context and modality — not measured performance; a smaller model can sometimes outperform a larger one on your task.
gpt-oss-120b and MiniMax M2.5 are the same class (Mid) on size & context, so they're plausible substitutes — decide on price, modality and provider fit.
| metric | MiniMax M2.5 | gpt-oss-120b |
|---|---|---|
| Input / 1M | $0.27 | $0.15 |
| Output / 1M | $1.08 | $0.60 |
| Context | 205K | 131K |
| Technical class | Mid | Mid |
| Cost @ typical workload | $189/mo | $105/mo |
| Modality | Text only | Text only |
| Price source | routed | routed |
| Provider | MiniMax | OpenAI |
Snapshot . Cost uses a typical workload; tune it in the calculator. How we measure →
Which should you pick?
On a typical workload, gpt-oss-120b costs $105/mo against MiniMax M2.5's $189/mo — roughly 1.8× cheaper. But the ranking depends on your output-to-input ratio: output is the pricier direction for both, so an output-heavy job (code generation, long answers) widens the gap while an input-heavy one (summarization, retrieval) narrows it. If you need to fit more in a single prompt, MiniMax M2.5 has the larger 205K-token window (~307 pages). By technical class — a spec read of size and context, not measured capability — both are Mid, so this is a like-for-like price decision.
These are list and routed market prices, not measured outcomes. Two models at the same rate can still cost different amounts to finish the same task, because verbose or reasoning-heavy models emit more tokens. That gap is exactly what measured cost-per-task captures. The technical-class read above is likewise spec-based — size, context and modality, not measured performance — so a smaller model can still outperform a larger one on your specific task.
Frequently asked questions
Is MiniMax M2.5 or gpt-oss-120b cheaper?
For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), gpt-oss-120b costs $105/mo versus $189/mo for MiniMax M2.5 — about 1.8× less. Because output is priced higher than input, the winner can flip if your workload writes much more or less than this; check your own numbers in the calculator.
What's the main difference between MiniMax M2.5 and gpt-oss-120b?
On price, MiniMax M2.5 is $0.27/$1.08 per 1M (in/out) and gpt-oss-120b is $0.15/$0.60. By technical class (size & context) they're the same — both Mid. MiniMax M2.5 has the larger context window at 205K tokens.
More comparisons
- GPT-5.5 vs gpt-oss-120b
- GPT-5.4 vs gpt-oss-120b
- GPT-5.4 mini vs gpt-oss-120b
- GPT-5.4 mini vs MiniMax M2.5
- GPT-5.4 nano vs gpt-oss-120b
- GPT-5.4 nano vs MiniMax M2.5
Related
- MiniMax M2.5 and gpt-oss-120b — full specs and price history.
- API cost calculator — compare on your own workload.
- All comparisons — the full head-to-head index.