Gemini 2.5 Flash Live API vs GPT-5.2 Codex
Gemini 2.5 Flash Live API (2025) and GPT-5.2 Codex (2025) are agentic coding models from Google DeepMind and OpenAI. Gemini 2.5 Flash Live API ships a 128K-token context window, while GPT-5.2 Codex ships a not-yet-sourced context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
GPT-5.2 Codex is safer overall; choose Gemini 2.5 Flash Live API when vision-heavy evaluation matters.
Specs
| Released | 2025-12-01 | 2025-12-18 |
| Context window | 128K | — |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | Proprietary | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Gemini 2.5 Flash Live API | GPT-5.2 Codex | |
|---|---|---|
| Input price | $0.5/1M tokens | - |
| Output price | $2/1M tokens | - |
| Providers | - |
Capabilities
| Gemini 2.5 Flash Live API | GPT-5.2 Codex | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: GPT-5.2 Codex and code execution: GPT-5.2 Codex. Both models share vision, multimodal input, function calling, and tool use, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: Gemini 2.5 Flash Live API has $0.5/1M input tokens and GPT-5.2 Codex has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Gemini 2.5 Flash Live API when vision-heavy evaluation and broader provider choice are central to the workload. Choose GPT-5.2 Codex when coding workflow support are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Is Gemini 2.5 Flash Live API or GPT-5.2 Codex open source?
Gemini 2.5 Flash Live API is listed under Proprietary. GPT-5.2 Codex is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Gemini 2.5 Flash Live API or GPT-5.2 Codex?
Both Gemini 2.5 Flash Live API and GPT-5.2 Codex expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, Gemini 2.5 Flash Live API or GPT-5.2 Codex?
Both Gemini 2.5 Flash Live API and GPT-5.2 Codex expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for reasoning mode, Gemini 2.5 Flash Live API or GPT-5.2 Codex?
GPT-5.2 Codex has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, Gemini 2.5 Flash Live API or GPT-5.2 Codex?
Both Gemini 2.5 Flash Live API and GPT-5.2 Codex expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Gemini 2.5 Flash Live API and GPT-5.2 Codex?
Gemini 2.5 Flash Live API is available on Google AI Studio. GPT-5.2 Codex is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.