Gemma 4 31B vs GPT-5.3-Codex
Benchmark Performance
Available Benchmarks
Technical Differences
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 | 262,144 | 400,000 |
| Total parameters | 31,000,000,000 | 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 |
13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
Gemma 4 31B Capabilities
GPT-5.3-Codex Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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GPT-5.3-CodexOpenAI | vs | cross-developer peersimage, text | |
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GPT-5.2OpenAI | vs | GPT-5.3-CodexOpenAI | family variantsimage, text |
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GPT-5.3-CodexOpenAI | vs | GPT-5.4 NanoOpenAI | family variantsimage, text |
 DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | Gemma 4 31BGoogle DeepMind | cross-developer peersimage, text |
Claude Sonnet 4.5Anthropic | vs | GPT-5.3-CodexOpenAI | 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 $0.090 and GPT-5.3-Codex is $1.75 per million tokens, so Gemma 4 31B is cheaper on this metric. Gemma 4 31B is $0.34 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 and GPT-5.3-Codex supports 400,000.
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 the only model in this pair currently marked as 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?+
Neither has a larger sourced maximum output. Gemma 4 31B is — and GPT-5.3-Codex is 128,000.
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.