gpt-oss-120b vs MiniMax M2
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
gpt-oss-120b
OpenAI · Aug 2025
OpenAI's open-weights MoE reasoning model under Apache 2.0 — near o4-mini quality, runnable on a single 80GB GPU.
MiniMax M2
68.9MiniMax · Oct 2025
A 10B-active MoE tuned purely for agents and code — striking capability-per-active-parameter at rock-bottom prices.
The verdict
gpt-oss-120b wins 1 of the 1 benchmarks these models share, against 0 for MiniMax M2. gpt-oss-120b is about 2.6x cheaper per blended million tokens (3:1 input:output mix). MiniMax M2 also takes 205K of context versus 131K for gpt-oss-120b.
Benchmark head-to-head 1–0
Specs & pricing
| gpt-oss-120b | MiniMax M2 | |
|---|---|---|
| modhub Index | — | 68.9 |
| Input price / 1M | $0.1 | $0.3 |
| Output price / 1M | $0.5 | $1.2 |
| Context window | 131K | 205K |
| Max output | 131K | — |
| Open weights | yes (Apache 2.0) | yes (MIT) |
| Reasoning model | yes | yes |
| Multimodal input | text | text |
| Knowledge cutoff | Jun 2024 | Jun 2025 |
| Released | Aug 2025 | Oct 2025 |
| Example monthly cost* | $1.75 | $4.80 |
* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.
Frequently asked questions
- Which is better, gpt-oss-120b or MiniMax M2?
- gpt-oss-120b wins 1 of the 1 benchmarks these models share, against 0 for MiniMax M2. gpt-oss-120b is about 2.6x cheaper per blended million tokens (3:1 input:output mix). MiniMax M2 also takes 205K of context versus 131K for gpt-oss-120b.
- Which is cheaper, gpt-oss-120b or MiniMax M2?
- gpt-oss-120b costs $0.1/$0.5 per million input/output tokens, while MiniMax M2 costs $0.3/$1.2. For a typical workload of 10M input and 1.5M output tokens per month, that's $1.75 versus $4.80.
- Which model is better for coding, gpt-oss-120b or MiniMax M2?
- We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.