Gemma 4 31B vs GPT-5.2
At a Glance
| Compare |  Gemma 4 31BGoogle DeepMind |  GPT-5.2OpenAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #33 of 4649.3 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #28 of 44$0.161 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #34 of 3844.0 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.090Openrouter ↗ · Sep 22, 2026 | $1.75Openai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $0.34Openrouter ↗ · Sep 22, 2026 | $14.00Openai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 262K | 400K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 3, 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-5.2 |
|---|---|---|
| LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · leader | 1,424.51100% of row best · rating · gemma-4-31b; 95% CI [1416.71159012, 1432.31286462]; votes 12326; rank 35 | 1,401.1298% of row best · rating · gpt-5.2; 95% CI [1395.19508120, 1407.03614053]; votes 28212; rank 44 |
| 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 | 1,412.4398% of row best · rating · gpt-5.2; 95% CI [1409.21136225, 1415.65317114]; votes 78967; rank 125 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader | 1,275.98100% of row best · rating · gemma-4-31b; 95% CI [1269.84273447, 1282.11308989]; votes 35713; rank 33 | 1,229.4496% of row best · rating · gpt-5.2; 95% CI [1223.25930119, 1235.62760198]; votes 18997; rank 68 |
| Overall ResultCounted from the protocol-matched rows above | 3 benchmark winsNo 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-5.2 |
|---|---|---|
| Developer | Google DeepMind | OpenAI |
| Family | Gemma 4 | Gpt 5 2 |
| Model | Gemma 4 31B | GPT-5.2 |
| Version | Gemma 4 31B | GPT-5.2 |
| Lifecycle | active | active |
| Released | 2026-03-11 | 2025-12-11 |
| Knowledge cutoff | Unknown | 2025-08-31 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 400K |
| Total parameters | 31B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Cerebras (Standard), Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, structured_outputs, tools |
Gemma 4 31B Capabilities
GPT-5.2 Capabilities
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Gemma 4 31BGoogle DeepMind | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Gemma 4 31B vs GPT-5.2 FAQs
Is Gemma 4 31B or GPT-5.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 31B and GPT-5.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemma 4 31B or GPT-5.2?+
Gemma 4 31B is $0.090 and GPT-5.2 is $1.75 per million tokens, so Gemma 4 31B is cheaper on this metric. Gemma 4 31B is $0.34 and GPT-5.2 is $14.00 per million tokens, so Gemma 4 31B is cheaper on this metric.
Which has a larger context window, Gemma 4 31B or GPT-5.2?+
GPT-5.2 has the larger sourced context window. Gemma 4 31B supports 262K and GPT-5.2 supports 400K.
Which performs better in benchmarks, Gemma 4 31B or GPT-5.2?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Gemma 4 31B or GPT-5.2 be self-hosted?+
Gemma 4 31B is the only model in this pair currently marked as self-hostable. Gemma 4 31B is open weight; GPT-5.2 is not marked open weight.
Can Gemma 4 31B and GPT-5.2 understand images?+
Gemma 4 31B is documented with image input; GPT-5.2 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemma 4 31B or GPT-5.2?+
Neither has a larger sourced maximum output. Gemma 4 31B is — and GPT-5.2 is 128K.
Do Gemma 4 31B and GPT-5.2 support reasoning and tool use?+
Gemma 4 31B: reasoning, tool calling, and image input. GPT-5.2: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemma 4 31B or GPT-5.2?+
Gemma 4 31B has 5 sourced provider routes; GPT-5.2 has 2, so Gemma 4 31B has broader tracked availability.
Which offers better value, Gemma 4 31B or GPT-5.2?+
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.