Ministral 3 8B Instruct 2512 vs gpt-oss-20b
At a Glance
| Compare |  Ministral 3 8B Instruct 2512Mistral AI |  gpt-oss-20bOpenAI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.15Openrouter ↗ · Aug 29, 2026 | $0.030Deepinfra ↗ · Sep 21, 2026 |
| Output priceFrom · USD / 1M tokens | $0.15Openrouter ↗ · Aug 29, 2026 | $0.13Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 262K | 131K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Ministral-3-8B-Instruct-2512 | gpt-oss-20b |
|---|---|---|
| Developer | Mistral AI | OpenAI |
| Family | Ministral 3 8b Instruct 2512 | Gpt Oss |
| Model | Ministral-3-8B-Instruct-2512 | gpt-oss-20b |
| Version | Ministral-3-8B-Instruct-2512 | gpt-oss-20b |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 262K | 131K |
| Total parameters | 8.9B | 20.9B |
| Active parameters | Unknown | 3.6B |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Openrouter (Standard) | Deepinfra (Standard), Groq (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Serverless, Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, tools |
Ministral 3 8B Instruct 2512 Capabilities
gpt-oss-20b Capabilities
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Primary Evidence
Sources and Freshness
Questions
Ministral 3 8B Instruct 2512 vs gpt-oss-20b FAQs
Is Ministral 3 8B Instruct 2512 or gpt-oss-20b better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Ministral 3 8B Instruct 2512 and gpt-oss-20b, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Ministral 3 8B Instruct 2512 or gpt-oss-20b?+
Ministral 3 8B Instruct 2512 is $0.15 and gpt-oss-20b is $0.030 per million tokens, so gpt-oss-20b is cheaper on this metric. Ministral 3 8B Instruct 2512 is $0.15 and gpt-oss-20b is $0.13 per million tokens, so gpt-oss-20b is cheaper on this metric.
Which has a larger context window, Ministral 3 8B Instruct 2512 or gpt-oss-20b?+
Ministral 3 8B Instruct 2512 has the larger sourced context window. Ministral 3 8B Instruct 2512 supports 262K and gpt-oss-20b supports 131K.
Which performs better in benchmarks, Ministral 3 8B Instruct 2512 or gpt-oss-20b?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Ministral 3 8B Instruct 2512 or gpt-oss-20b be self-hosted?+
Both models have the same recorded self-hosting status: supported. Ministral 3 8B Instruct 2512 is open weight; gpt-oss-20b is open weight.
Can Ministral 3 8B Instruct 2512 and gpt-oss-20b understand images?+
Ministral 3 8B Instruct 2512 is documented with image input; gpt-oss-20b is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Ministral 3 8B Instruct 2512 or gpt-oss-20b?+
Neither has a larger sourced maximum output. Ministral 3 8B Instruct 2512 is — and gpt-oss-20b is —.
Do Ministral 3 8B Instruct 2512 and gpt-oss-20b support reasoning and tool use?+
Ministral 3 8B Instruct 2512: tool calling and image input. gpt-oss-20b: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Ministral 3 8B Instruct 2512 or gpt-oss-20b?+
Ministral 3 8B Instruct 2512 has 1 sourced provider route; gpt-oss-20b has 5, so gpt-oss-20b has broader tracked availability.
Which offers better value, Ministral 3 8B Instruct 2512 or gpt-oss-20b?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.