gpt-oss-120b Open vs 
Mistral Medium 3.5 Open
gpt-oss-120b vs Mistral Medium 3.5 compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$0.17 /M outputNo per-token fees if you self-host
$7.5 /M outputNo per-token fees if you self-host
gpt-oss-120b vs Mistral Medium 3.5 specs
| Spec | gpt-oss-120b | Mistral Medium 3.5 | Winner |
|---|---|---|---|
| Maker | OpenAI | Mistral AI | – |
| Type | Open-weight | Open-weight | – |
| Context window | 131K tokens | 262K tokens | |
| Input price | $0.04/M · free self-host | $1.5/M · free self-host | |
| Output price | $0.17/M · free self-host | $7.5/M · free self-host | |
| Vision / multimodal | No | Yes | |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | Yes | Yes | = Tie |
| License | Apache 2.0 | Apache 2.0 | – |
Price gap & when to choose each
gpt-oss-120b is ~44× cheaper than Mistral Medium 3.5 on output tokens ($0.17 vs $7.5 per M tokens).
- You want to self-host or run on your cloud
- You prioritize data privacy & control
- You want the lowest operating costs
- You are building open or reproducible AI
- You want to self-host or run on your cloud
- You need the longer 262K context window
- You prioritize data privacy & control
- You are building open or reproducible AI
Feature comparison
| Capability | gpt-oss-120b | Mistral Medium 3.5 |
|---|---|---|
| Open weights (downloadable) | ✓ | ✓ |
| Self-hostable | ✓ | ✓ |
| Runs fully offline | ✓ | ✓ |
| Vision / multimodal | ✗ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✗ |
Benchmarks: gpt-oss-120b vs Mistral Medium 3.5
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How gpt-oss-120b and Mistral Medium 3.5 score
| Criterion | gpt-oss-120b | Mistral Medium 3.5 |
|---|---|---|
| Cost-efficiency | 5.0 | 4.0 |
| Context window | 3.5 | 4.0 |
| Openness | 5.0 | 5.0 |
| Self-hosting | 5.0 | 5.0 |
| Multimodality | 3.5 | 5.0 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
gpt-oss-120b Open
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. It activates 5.1B parameters per forward pass and is optimize
Mistral Medium 3.5 Open
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
Other models in these families
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Frequently asked questions
gpt-oss-120b vs Mistral Medium 3.5 — which is cheaper?
gpt-oss-120b is cheaper on output ($0.17/M vs $7.5/M).
Which has the larger context window?
Mistral Medium 3.5 offers the larger context window (262K tokens).
gpt-oss-120b vs Mistral Medium 3.5 — which should I pick in 2026?
Choose gpt-oss-120b for the lower output price ($0.17/M vs $7.5/M). Choose Mistral Medium 3.5 if you need the larger 262K context window.
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