Gemma 4 31B vs gpt-oss-120b
At a Glance
| Compare |  Gemma 4 31BGoogle DeepMind |  gpt-oss-120bOpenAI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.090Openrouter ↗ · Sep 22, 2026 | $0.037Deepinfra ↗ · Sep 21, 2026 |
| Output priceFrom · USD / 1M tokens | $0.34Openrouter ↗ · Sep 22, 2026 | $0.17Deepinfra ↗ · Sep 21, 2026 |
| Context windowMaximum documented tokens | 262K | 131K |
| Model facts checked | Sep 3, 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
| Benchmark | Gemma 4 31B | gpt-oss-120b |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,441.68100% of row best · rating · gemma-4-31b; 95% CI [1434.13929794, 1449.22204224]; votes 5894; rank 64 | 1,365.8795% of row best · rating · gpt-oss-120b; 95% CI [1361.49487468, 1370.23719284]; votes 29955; rank 176 |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Gemma 4 31B | gpt-oss-120b |
|---|---|---|
| Developer | Google DeepMind | OpenAI |
| Family | Gemma 4 | Gpt Oss 120b |
| Model | Gemma 4 31B | gpt-oss-120b |
| Version | Gemma 4 31B | gpt-oss-120b |
| Lifecycle | active | active |
| Released | 2026-03-11 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 262K | 131K |
| Total parameters | 31B | 116.8B |
| Active parameters | Unknown | 5.1B |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Cerebras (Standard), Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard) | Cerebras (Standard), Deepinfra (Standard), Fireworks Ai (Serverless, Standard), Groq (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Serverless, Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, tools |
Gemma 4 31B Capabilities
gpt-oss-120b Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemma 4 31B vs gpt-oss-120b FAQs
Is Gemma 4 31B or gpt-oss-120b better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 31B and gpt-oss-120b, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemma 4 31B or gpt-oss-120b?+
Gemma 4 31B is $0.090 and gpt-oss-120b is $0.037 per million tokens, so gpt-oss-120b is cheaper on this metric. Gemma 4 31B is $0.34 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, Gemma 4 31B or gpt-oss-120b?+
Gemma 4 31B has the larger sourced context window. Gemma 4 31B supports 262K and gpt-oss-120b supports 131K.
Which performs better in benchmarks, Gemma 4 31B 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 Gemma 4 31B or gpt-oss-120b be self-hosted?+
Both models have the same recorded self-hosting status: supported. Gemma 4 31B is open weight; gpt-oss-120b is open weight.
Can Gemma 4 31B and gpt-oss-120b understand images?+
Gemma 4 31B 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, Gemma 4 31B or gpt-oss-120b?+
Neither has a larger sourced maximum output. Gemma 4 31B is — and gpt-oss-120b is —.
Do Gemma 4 31B and gpt-oss-120b support reasoning and tool use?+
Gemma 4 31B: 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, Gemma 4 31B or gpt-oss-120b?+
Gemma 4 31B has 5 sourced provider routes; gpt-oss-120b has 7, so gpt-oss-120b has broader tracked availability.
Which offers better value, Gemma 4 31B 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.