Gemini 2.5 Pro Preview 06-05 vs GPT-4 Turbo
Gemini 2.5 Pro Preview 06-05 (2025) and GPT-4 Turbo (2024) are compact production models from Google DeepMind and OpenAI. Gemini 2.5 Pro Preview 06-05 ships a 1m-token context window, while GPT-4 Turbo ships a 128k-token context window. On pricing, Gemini 2.5 Pro Preview 06-05 costs $1.25/1M input tokens versus $5/1M for the alternative. 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 Preview 06-05 is ~300% cheaper at $1.25/1M; pay for GPT-4 Turbo only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Gemini 2.5 Pro Preview 06-05 | GPT-4 Turbo |
|---|---|---|
| Best for | multimodal apps and long-context analysis | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 128k |
| Cheapest output | $10/1M tokens | $15/1M tokens |
| Provider routes | 1 tracked | 6 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Gemini 2.5 Pro Preview 06-05 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 2.5 Pro Preview 06-05 has the lower cheapest tracked output price at $10/1M tokens.
- Local decision data tags Gemini 2.5 Pro Preview 06-05 for Coding, RAG, and Agents.
- GPT-4 Turbo has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-4 Turbo uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags GPT-4 Turbo 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 Preview 06-05
$3,500
Cheapest tracked route/tier: OpenRouter
GPT-4 Turbo
$7,750
Cheapest tracked route/tier: Replicate API
Estimated monthly gap: $4,250. 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.
- GPT-4 Turbo is $5/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-4 Turbo adds Function calling and Tool use in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Gemini 2.5 Pro Preview 06-05 is $5/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-03-25 | 2024-04-09 |
| 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 with conditions | Commercial use with conditions |
| Knowledge cutoff | - | 2023-12 |
Pricing and availability
| Pricing attribute | Gemini 2.5 Pro Preview 06-05 | GPT-4 Turbo |
|---|---|---|
| Input price | $1.25/1M tokens | $5/1M tokens |
| Output price | $10/1M tokens | $15/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Pro Preview 06-05 | GPT-4 Turbo |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: GPT-4 Turbo and tool use: GPT-4 Turbo. 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 Preview 06-05 lists $1.25/1M input and $10/1M output tokens on the cheapest tracked provider, while GPT-4 Turbo lists $5/1M input and $15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemini 2.5 Pro Preview 06-05 lower by about $4.13 per million blended tokens. Availability is 1 providers versus 6, so concentration risk also matters.
Choose Gemini 2.5 Pro Preview 06-05 when coding workflow support, larger context windows, and lower input-token cost are central to the workload. Choose GPT-4 Turbo when coding workflow support and broader provider choice 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.
FAQ
Which has a larger context window, Gemini 2.5 Pro Preview 06-05 or GPT-4 Turbo?
Gemini 2.5 Pro Preview 06-05 supports 1m tokens, while GPT-4 Turbo 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 Preview 06-05 or GPT-4 Turbo?
Gemini 2.5 Pro Preview 06-05 is cheaper on tracked token pricing. Gemini 2.5 Pro Preview 06-05 costs $1.25/1M input and $10/1M output tokens. GPT-4 Turbo costs $5/1M input and $15/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 2.5 Pro Preview 06-05 or GPT-4 Turbo open source?
Gemini 2.5 Pro Preview 06-05 is listed under Proprietary. GPT-4 Turbo 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 Preview 06-05 or GPT-4 Turbo?
Both Gemini 2.5 Pro Preview 06-05 and GPT-4 Turbo 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 Pro Preview 06-05 or GPT-4 Turbo?
Both Gemini 2.5 Pro Preview 06-05 and GPT-4 Turbo 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 Preview 06-05 and GPT-4 Turbo?
Gemini 2.5 Pro Preview 06-05 is available on OpenRouter. GPT-4 Turbo is available on OpenAI API, Azure OpenAI, Salesforce Einstein Generative AI, OpenRouter, and Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.