Gemini 2.5 Pro vs GPT-5.2 Codex
Gemini 2.5 Pro (2025) and GPT-5.2 Codex (2025) compare a standalone API model against a coding-specialized model. Gemini 2.5 Pro ships a 1m-token context window, while GPT-5.2 Codex ships a 400k-token context window. On SWE-bench Verified, GPT-5.2 Codex leads by 9 pts. On pricing, Gemini 2.5 Pro ranges from $1.25 to $2.50/1M input tokens by tier; GPT-5.2 Codex costs $1.75/1M input tokens. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: Gemini 2.5 Pro is standalone API model, while GPT-5.2 Codex is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | Gemini 2.5 Pro | GPT-5.2 Codex |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 400k |
| Cheapest output | $10/1M tokens | $14/1M tokens |
| Provider routes | 4 tracked | 2 tracked |
| Shared benchmarks | 2 shared | SWE-bench Verified leader |
Decision tradeoffs
- Gemini 2.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 2.5 Pro has the lower cheapest tracked output price at $10/1M tokens.
- Gemini 2.5 Pro has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
- GPT-5.2 Codex holds a shared-benchmark lead on SWE-bench Verified, ahead by 9 points.
- Local decision data tags GPT-5.2 Codex for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini 2.5 Pro
$3,500
Cheapest tracked route/tier: Google AI Studio <=200K tokens
GPT-5.2 Codex
$4,900
Cheapest tracked route/tier: Vercel AI Gateway
Estimated monthly gap: $1,400. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Vercel AI Gateway; start route-level A/B tests there.
- GPT-5.2 Codex is $4/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Provider overlap exists on Vercel AI Gateway; start route-level A/B tests there.
- Gemini 2.5 Pro is $4/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-17 | 2025-12-18 |
| Context window | 1m | 400k |
| Parameters | — | — |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Proprietary |
| Openness | Proprietary | Proprietary |
| Weights | Not released | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2025-01 | 2025-08 |
Pricing and availability
| Pricing attribute | Gemini 2.5 Pro | GPT-5.2 Codex |
|---|---|---|
| Input price |
| $1.75/1M tokens |
| Output price |
| $14/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Pro | GPT-5.2 Codex |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Gemini 2.5 Pro | GPT-5.2 Codex |
|---|---|---|
| SWE-bench Verified | 63.8 | 72.8 |
| Terminal-Bench 2.0 | 32.6 | 64.0 |
Deep dive
On shared benchmark coverage, SWE-bench Verified has Gemini 2.5 Pro at 63.8 and GPT-5.2 Codex at 72.8, with GPT-5.2 Codex ahead by 9 points; Terminal-Bench 2.0 has Gemini 2.5 Pro at 32.6 and GPT-5.2 Codex at 64, with GPT-5.2 Codex ahead by 31.4 points. The largest visible gap is 31.4 points on Terminal-Bench 2.0, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint is close: both models cover vision, multimodal input, reasoning mode, function calling, and tool use. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Gemini 2.5 Pro lists tiered pricing: <=200K tokens is $1.25/1M input and $10/1M output; >200K tokens is $2.50/1M input and $15/1M output, while GPT-5.2 Codex lists $1.75/1M input and $14/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemini 2.5 Pro lower by about $1.55 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 4 providers versus 2, so concentration risk also matters.
Choose Gemini 2.5 Pro when coding workflow support, larger context windows, and lower cheapest-tier input-token cost 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.
FAQ
Which has a larger context window, Gemini 2.5 Pro or GPT-5.2 Codex?
Gemini 2.5 Pro supports 1m tokens, while GPT-5.2 Codex supports 400k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Gemini 2.5 Pro or GPT-5.2 Codex?
Gemini 2.5 Pro lists tiered pricing: <=200K tokens is $1.25/1M input and $10/1M output; >200K tokens is $2.50/1M input and $15/1M output. GPT-5.2 Codex lists $1.75/1M input and $14/1M output tokens on the cheapest tracked provider. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is Gemini 2.5 Pro or GPT-5.2 Codex open source?
Gemini 2.5 Pro 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 Pro or GPT-5.2 Codex?
Both Gemini 2.5 Pro 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Gemini 2.5 Pro or GPT-5.2 Codex?
Both Gemini 2.5 Pro 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.
Where can I run Gemini 2.5 Pro and GPT-5.2 Codex?
Gemini 2.5 Pro is available on Google AI Studio, GCP Vertex AI, OpenRouter, and Vercel AI Gateway. GPT-5.2 Codex is available on Vercel AI Gateway and OpenAI API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
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Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.