Gemini 2.5 Pro vs GPT-4o (08-06)
Gemini 2.5 Pro (2025) and GPT-4o (08-06) (2024) are frontier reasoning models from Google DeepMind and OpenAI. Gemini 2.5 Pro ships a 1m-token context window, while GPT-4o (08-06) ships a 128k-token context window. On MMLU PRO, Gemini 2.5 Pro leads by 11.5 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Gemini 2.5 Pro fits 8x more tokens; pick it for long-context work and GPT-4o (08-06) for tighter calls.
Decision scorecard
Local evidence first| Signal | Gemini 2.5 Pro | GPT-4o (08-06) |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | multimodal apps and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 128k |
| Cheapest output | $10/1M tokens | $10/1M tokens |
| Provider routes | 4 tracked | 3 tracked |
| Shared benchmarks | MMLU PRO leader | 2 shared |
Decision tradeoffs
- Gemini 2.5 Pro holds a shared-benchmark lead on MMLU PRO, ahead by 11.5 points.
- Gemini 2.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 2.5 Pro has broader tracked provider coverage for fallback and procurement flexibility.
- Gemini 2.5 Pro uniquely exposes Reasoning, Function calling, and Tool use in local model data.
- Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
- Local decision data tags GPT-4o (08-06) 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-4o (08-06)
$4,500
Cheapest tracked route/tier: OpenAI API
Estimated monthly gap: $1,000. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Gemini 2.5 Pro adds Reasoning, Function calling, and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-17 | 2024-08-06 |
| Context window | 1m | 128k |
| Parameters | — | 1.76T (8x222B MoE)* |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | Proprietary |
| Openness | Proprietary | Proprietary |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2025-01 | 2023-10 |
Pricing and availability
| Pricing attribute | Gemini 2.5 Pro | GPT-4o (08-06) |
|---|---|---|
| Input price |
| $2.50/1M tokens |
| Output price |
| $10/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Pro | GPT-4o (08-06) |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| 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-4o (08-06) |
|---|---|---|
| MMLU PRO | 86.2 | 74.7 |
| Aider Polyglot | 83.1 | 23.1 |
Deep dive
On shared benchmark coverage, MMLU PRO has Gemini 2.5 Pro at 86.2 and GPT-4o (08-06) at 74.7, with Gemini 2.5 Pro ahead by 11.5 points; Aider Polyglot has Gemini 2.5 Pro at 83.1 and GPT-4o (08-06) at 23.1, with Gemini 2.5 Pro ahead by 60.0 points. The largest visible gap is 60.0 points on Aider Polyglot, 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 differs most on reasoning mode: Gemini 2.5 Pro, function calling: Gemini 2.5 Pro, and tool use: Gemini 2.5 Pro. Both models share vision, multimodal input, structured outputs, and code execution, 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.
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-4o (08-06) lists $2.50/1M input and $10/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemini 2.5 Pro lower by about $0.88 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 3, 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-4o (08-06) 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-4o (08-06)?
Gemini 2.5 Pro supports 1m tokens, while GPT-4o (08-06) supports 128k 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-4o (08-06)?
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-4o (08-06) lists $2.50/1M input and $10/1M 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-4o (08-06) open source?
Gemini 2.5 Pro is listed under Proprietary. GPT-4o (08-06) 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-4o (08-06)?
Both Gemini 2.5 Pro and GPT-4o (08-06) 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-4o (08-06)?
Both Gemini 2.5 Pro and GPT-4o (08-06) 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-4o (08-06)?
Gemini 2.5 Pro is available on Google AI Studio, GCP Vertex AI, OpenRouter, and Vercel AI Gateway. GPT-4o (08-06) is available on OpenAI API, Salesforce Einstein Generative AI, and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.