Gemma 4 31B vs GPT-5.3 Codex
At a Glance
| Compare |  Gemma 4 31BGoogle DeepMind |  GPT-5.3 CodexOpenAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #22 of 5754.3 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 18.1–84.8 | UnrankedNot in the 57-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.20Deepinfra ↗ · Oct 19, 2026 | $1.75Openai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $0.40Deepinfra ↗ · Oct 19, 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
Side-by-Side Facts
| Field | Gemma 4 31B | GPT-5.3-Codex |
|---|---|---|
| Developer | Google DeepMind | OpenAI |
| Family | Gemma 4 | Gpt 5 3 |
| Model | Gemma 4 31B | GPT-5.3-Codex |
| Version | Gemma 4 31B | GPT-5.3-Codex |
| Lifecycle | active | active |
| Released | 2026-03-11 | Unknown |
| 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-5.3 Codex Capabilities
Related Comparisons
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Gemma 4 31BGoogle DeepMind | vs |  Muse Glimmer 30BMeta | cross-developer peersimage, text |
Gemma 4 31BGoogle DeepMind | vs | cross-developer peerstext | |
Gemma 4 31BGoogle DeepMind | vs | cross-developer peerstext | |
 Qwen3.5-35B-A3BQwen | vs | Gemma 4 31BGoogle DeepMind | cross-developer peersimage, text |
| vs | Gemma 4 31BGoogle DeepMind | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Gemma 4 31B vs GPT-5.3 Codex FAQs
Is Gemma 4 31B or GPT-5.3 Codex better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 31B and GPT-5.3 Codex, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemma 4 31B or GPT-5.3 Codex?+
Gemma 4 31B is $0.20 and GPT-5.3 Codex is $1.75 per million tokens, so Gemma 4 31B is cheaper on this metric. Gemma 4 31B is $0.40 and GPT-5.3 Codex 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-5.3 Codex?+
GPT-5.3 Codex has the larger sourced context window. Gemma 4 31B supports 262,144 tokens and GPT-5.3 Codex supports 400,000 tokens.
Which performs better in benchmarks, Gemma 4 31B or GPT-5.3 Codex?+
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-5.3 Codex be self-hosted?+
Gemma 4 31B is documented as self-hostable; GPT-5.3 Codex is documented as not self-hostable. Gemma 4 31B is open weight; GPT-5.3 Codex is not marked open weight.
Can Gemma 4 31B and GPT-5.3 Codex understand images?+
Gemma 4 31B is documented with image input; GPT-5.3 Codex is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemma 4 31B or GPT-5.3 Codex?+
GPT-5.3 Codex has a sourced maximum output of 128,000 tokens; Gemma 4 31B's maximum output is not reported. A larger limit cannot be determined.
Do Gemma 4 31B and GPT-5.3 Codex support reasoning and tool use?+
Gemma 4 31B: reasoning, tool calling, and image input. GPT-5.3 Codex: 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-5.3 Codex?+
Gemma 4 31B has 5 sourced provider routes; GPT-5.3 Codex has 2, so Gemma 4 31B has broader tracked availability.
Which offers better value, Gemma 4 31B or GPT-5.3 Codex?+
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.