Claude 3.5 Haiku vs Gemini 2.5 Pro Computer Use Preview
Claude 3.5 Haiku (2024) and Gemini 2.5 Pro Computer Use Preview (2025) are frontier reasoning models from Anthropic and Google DeepMind. Claude 3.5 Haiku ships a 200k-token context window, while Gemini 2.5 Pro Computer Use Preview ships a 1.05m-token context window. On pricing, Claude 3.5 Haiku costs $0.80/1M input tokens versus $1.25/1M 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.
Claude 3.5 Haiku is ~56% cheaper at $0.80/1M; pay for Gemini 2.5 Pro Computer Use Preview only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Claude 3.5 Haiku | Gemini 2.5 Pro Computer Use Preview |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and provider-routed production | multimodal apps, tool-calling agents, and long-context analysis |
| Decision fit | Coding, RAG, and Agents | RAG, Agents, and Long context |
| Context window | 200k | 1.05m |
| Cheapest output | $4/1M tokens | $10/1M tokens |
| Provider routes | 6 tracked | 2 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Claude 3.5 Haiku has the lower cheapest tracked output price at $4/1M tokens.
- Claude 3.5 Haiku has broader tracked provider coverage for fallback and route flexibility.
- Claude 3.5 Haiku uniquely exposes Reasoning and Code execution in local model data.
- Local decision data tags Claude 3.5 Haiku for Coding, RAG, and Agents.
- 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 uniquely exposes Multimodal and JSON / Tool use in local model data.
- Local decision data tags Gemini 2.5 Pro Computer Use Preview for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Claude 3.5 Haiku
$1,640
Cheapest tracked route/tier: Anthropic
Gemini 2.5 Pro Computer Use Preview
$3,500
Cheapest tracked route/tier: Google AI Studio
Estimated monthly gap: $1,860. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on GCP Vertex AI; start route-level A/B tests there.
- Gemini 2.5 Pro Computer Use Preview is $6/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning and Code execution before moving production traffic.
- Gemini 2.5 Pro Computer Use Preview adds Multimodal and JSON / Tool use in local capability data.
- Provider overlap exists on GCP Vertex AI; start route-level A/B tests there.
- Claude 3.5 Haiku is $6/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Multimodal and JSON / Tool use before moving production traffic.
- Claude 3.5 Haiku adds Reasoning and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-10-22 | 2025-10-01 |
| Context window | 200k | 1.05m |
| 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 |
Pricing and availability
| Pricing attribute | Claude 3.5 Haiku | Gemini 2.5 Pro Computer Use Preview |
|---|---|---|
| Input price | $0.80/1M tokens | $1.25/1M tokens |
| Output price | $4/1M tokens | $10/1M tokens |
| Providers |
Capabilities
| Capability | Claude 3.5 Haiku | Gemini 2.5 Pro Computer Use Preview |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | No |
| JSON / Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| 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: 2026-07-26. Data sourced from public model cards and provider documentation.