Gemini 2.5 Pro Computer Use Preview vs GPT-4 Turbo
Gemini 2.5 Pro Computer Use Preview (2025) and GPT-4 Turbo (2024) are compact production models from Google DeepMind and OpenAI. Gemini 2.5 Pro Computer Use Preview ships a 1.05m-token context window, while GPT-4 Turbo ships a 128k-token context window. On pricing, Gemini 2.5 Pro Computer Use Preview 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 Computer Use Preview 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 Computer Use Preview | GPT-4 Turbo |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and long-context analysis | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | RAG, Agents, and Long context | Coding, RAG, and Agents |
| Context window | 1.05m | 128k |
| Cheapest output | $10/1M tokens | $15/1M tokens |
| Provider routes | 2 tracked | 6 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Gemini 2.5 Pro Computer Use Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 2.5 Pro Computer Use Preview has the lower cheapest tracked output price at $10/1M tokens.
- Local decision data tags Gemini 2.5 Pro Computer Use Preview for RAG, Agents, and Long context.
- GPT-4 Turbo has broader tracked provider coverage for fallback and route flexibility.
- GPT-4 Turbo uniquely exposes Code execution 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 Computer Use Preview
$3,500
Cheapest tracked route/tier: Google AI Studio
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
- No overlapping tracked provider route is sourced for Gemini 2.5 Pro Computer Use Preview and GPT-4 Turbo; plan for SDK, billing, or endpoint changes.
- 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 Code execution in local capability data.
- No overlapping tracked provider route is sourced for GPT-4 Turbo and Gemini 2.5 Pro Computer Use Preview; plan for SDK, billing, or endpoint changes.
- Gemini 2.5 Pro Computer Use Preview is $5/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-01 | 2024-04-09 |
| Context window | 1.05m | 128k |
| Parameters | — | 1.76T (8x222B MoE)* |
| Architecture | Decoder Only | Mixture of Experts |
| 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 | 2023-12 |
Pricing and availability
| Pricing attribute | Gemini 2.5 Pro Computer Use Preview | 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 Computer Use Preview | GPT-4 Turbo |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.