Mistral-Small-4-119B-2603 vs gpt-oss-120b

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Mistral AI · activeMistral-Small-4-119B-2603Verified Aug 28, 2026
Openai · activegpt-oss-120bVerified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldMistral-Small-4-119B-2603gpt-oss-120b
DeveloperMistral AIOpenai
FamilyMistral Small 4 119b 2603Gpt Oss 120b
ModelMistral-Small-4-119B-2603gpt-oss-120b
VersionMistral-Small-4-119B-2603gpt-oss-120b
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window1,048,576131,072
Total parameters119,401,317,952116,829,156,672
Active parameters6,500,000,0005,100,000,000
Licenseapache-2.0apache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessOpenrouter (Standard)Cerebras (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Groq (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

16 comparable fields · 9 material differences · Pair passes the primary-source comparison gate

Mistral-Small-4-119B-2603 Capabilities

chatgenerationreasoningtools
Input price$0.15
Output price$0.60
Serving providers1
Canonical IDmistralai/Mistral-Small-4-119B-2603

gpt-oss-120b Capabilities

chatgenerationreasoningtools
Input price$0.037
Output price$0.17
Serving providers7
Canonical IDopenai/gpt-oss-120b

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Mistral-Small-4-119B-2603 vs gpt-oss-120b FAQs

Is Mistral-Small-4-119B-2603 or gpt-oss-120b better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Mistral-Small-4-119B-2603 and gpt-oss-120b, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Mistral-Small-4-119B-2603 or gpt-oss-120b?+

Mistral-Small-4-119B-2603 is $0.15 and gpt-oss-120b is $0.037 per million tokens, so gpt-oss-120b is cheaper on this metric. Mistral-Small-4-119B-2603 is $0.60 and gpt-oss-120b is $0.17 per million tokens, so gpt-oss-120b is cheaper on this metric.

Which has a larger context window, Mistral-Small-4-119B-2603 or gpt-oss-120b?+

Mistral-Small-4-119B-2603 has the larger sourced context window. Mistral-Small-4-119B-2603 supports 1,048,576 and gpt-oss-120b supports 131,072.

Which performs better in benchmarks, Mistral-Small-4-119B-2603 or gpt-oss-120b?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Mistral-Small-4-119B-2603 or gpt-oss-120b be self-hosted?+

Both models have the same recorded self-hosting status: supported. Mistral-Small-4-119B-2603 is open weight; gpt-oss-120b is open weight.

Can Mistral-Small-4-119B-2603 and gpt-oss-120b understand images?+

Mistral-Small-4-119B-2603 is documented with image input; gpt-oss-120b is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Mistral-Small-4-119B-2603 or gpt-oss-120b?+

Neither has a larger sourced maximum output. Mistral-Small-4-119B-2603 is — and gpt-oss-120b is —.

Do Mistral-Small-4-119B-2603 and gpt-oss-120b support reasoning and tool use?+

Mistral-Small-4-119B-2603: reasoning, tool calling, and image input. gpt-oss-120b: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Mistral-Small-4-119B-2603 or gpt-oss-120b?+

Mistral-Small-4-119B-2603 has 1 sourced provider route; gpt-oss-120b has 7, so gpt-oss-120b has broader tracked availability.

Which offers better value, Mistral-Small-4-119B-2603 or gpt-oss-120b?+

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.

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