AI model comparison
gpt-oss-20b vs Mistral Nemo
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
OpenAI
gpt-oss-20b
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license.
- Input / 1M
- $0.02
- Output / 1M
- $0.09
- Context
- 131K
Mistral
Mistral Nemo
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA.
- Input / 1M
- $0.03
- Output / 1M
- $0.03
- Context
- 131K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Mistral Nemo
1.1x cheaper for a typical chat
Higher intelligence score
Tie
Not enough benchmark data
Larger context window
Tie
131K vs 131K tokens
Newer release
gpt-oss-20b
Released August 5, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
gpt-oss-20b10Mistral NemoNot availableCoding index
gpt-oss-20bNot availableMistral NemoNot availableAgentic index
gpt-oss-20bNot availableMistral NemoNot availablePricing
gpt-oss-20b vs Mistral Nemo API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | gpt-oss-20b | Mistral Nemo |
|---|---|---|
| Input tokensPer 1M tokens | $0.02 | $0.03 |
| Output tokensPer 1M tokens | $0.09 | $0.03 |
| Cached input (read)Per 1M tokens | $0.01 | 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-20b$0.08Mistral Nemo$0.07Coding task
30K in, 4K out
gpt-oss-20b$0.90$0.63 cachedMistral Nemo$0.99Long document summary
150K in, 2K out
gpt-oss-20b$2.88$1.53 cachedMistral Nemo$4.41Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | gpt-oss-20b | Mistral Nemo |
|---|---|---|
| Context window | 131K tokens | 131K tokens |
| Max output | 33K tokens | 16K 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 | July 19, 2024 |
Features
Supported features
API features available for each model.
| Metric | gpt-oss-20b | Mistral Nemo |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not 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.
Mistral NemoView full model details- Mistral Nemo vs GLM 5.3 Flash
- Mistral Nemo vs MiMo-V2.6-Flash
- Mistral Nemo vs Muse Spark 1.3 Contributor
- Mistral Nemo vs Ling 3.0 Flash
- Mistral Nemo vs Ling 3.0 Flash VL
- Mistral Nemo vs Llama 3.1 8B Instruct
- Mistral Nemo vs Mistral Small 3
- Mistral Nemo vs Ministral 3 8B 2512
- Mistral Nemo vs Ministral 3 3B 2512
Our take
Mistral Nemo is 1.1x cheaper for a typical chat. 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-20b or Mistral Nemo cheaper?
Mistral Nemo is cheaper for a typical chat (2K input tokens and 500 output tokens). Mistral Nemo costs $0.03 per 1M input tokens and $0.03 per 1M output tokens, while gpt-oss-20b costs $0.02 per 1M input tokens and $0.09 per 1M output tokens.
Which has a bigger context window, gpt-oss-20b or Mistral Nemo?
gpt-oss-20b supports up to 131K tokens of context, compared with 131K for Mistral Nemo.
Can I use gpt-oss-20b and Mistral Nemo at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see gpt-oss-20b and Mistral Nemo answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to gpt-oss-20b and Mistral Nemo at the same time. Compare the answers side by side and keep the best one.