AI model comparison
gpt-oss-120b vs MiniMax M1
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
OpenAI
gpt-oss-120b
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 131K
MiniMax
MiniMax M1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference.
- Input / 1M
- $0.55
- Output / 1M
- $2.20
- Context
- 1M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
gpt-oss-120b
3.7x cheaper for a typical chat
Higher intelligence score
MiniMax M1
11.7 vs 11.6 on Artificial Analysis
Larger context window
MiniMax M1
1M vs 131K tokens
Newer release
gpt-oss-120b
Released August 5, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
gpt-oss-120b11.6Coding index
gpt-oss-120b30.4Agentic index
gpt-oss-120b3.7Pricing
gpt-oss-120b vs MiniMax M1 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | gpt-oss-120b | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.55 |
| Output tokensPer 1M tokens | $0.60 | $2.20 |
| Cached input (read)Per 1M tokens | $0.08 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
gpt-oss-120b$0.60Coding task
30K in, 4K out
gpt-oss-120b$6.90$4.65 cachedLong document summary
150K in, 2K out
gpt-oss-120b$23.70$12.45 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | gpt-oss-120b | |
|---|---|---|
| Context window | 131K tokens | 1M tokens |
| Max output | 66K tokens | 40K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | High, Medium, Low | Not available |
| Default reasoning effort | Medium | Not available |
| Release date | August 5, 2025 | June 17, 2025 |
Features
Supported features
API features available for each model.
| Metric | gpt-oss-120b | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Not supported |
| JSON mode | Supported | Not supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
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Our take
gpt-oss-120b is 3.7x cheaper for a typical chat. MiniMax M1 scores higher on the Artificial Analysis Intelligence Index (11.7 vs 11.6). MiniMax M1 has the larger context window (1M vs 131K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is gpt-oss-120b or MiniMax M1 cheaper?
gpt-oss-120b is cheaper for a typical chat (2K input tokens and 500 output tokens). gpt-oss-120b costs $0.15 per 1M input tokens and $0.60 per 1M output tokens, while MiniMax M1 costs $0.55 per 1M input tokens and $2.20 per 1M output tokens.
Which has a bigger context window, gpt-oss-120b or MiniMax M1?
MiniMax M1 supports up to 1M tokens of context, compared with 131K for gpt-oss-120b.
Is gpt-oss-120b smarter than MiniMax M1?
On the Artificial Analysis Intelligence Index, gpt-oss-120b scores 11.6 and MiniMax M1 scores 11.7, putting MiniMax M1 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use gpt-oss-120b and MiniMax M1 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see gpt-oss-120b and MiniMax M1 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to gpt-oss-120b and MiniMax M1 at the same time. Compare the answers side by side and keep the best one.