Claude Haiku 4.5 vs Gemini Computer Use
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Claude Haiku 4.5 | Gemini Computer Use |
|---|---|---|
| Developer | Anthropic | Google DeepMind |
| Family | Claude 4 5 | Gemini Tools |
| Model | Claude Haiku 4.5 | Gemini Computer Use |
| Version | Claude Haiku 4.5 | Gemini Computer Use |
| Lifecycle | active | preview |
| Released | 2025-10-15 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 200,000 | 128,000 |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Anthropic (Standard) | Google AI (Standard) |
| Capabilities | chat, generation, reasoning, tools | generation, reasoning, tools |
13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
Claude Haiku 4.5 Capabilities
Gemini Computer Use Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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Claude Haiku 4.5Anthropic | vs | Grok 4.6xAI | cross-developer peersimage, text |
Claude Haiku 4.5Anthropic | vs |  GPT-4oOpenAI | cross-developer peersimage, text |
Claude Haiku 4.5Anthropic | vs | GPT-4o MiniOpenAI | cross-developer peersimage, text |
Claude Haiku 4.5Anthropic | vs |  Command A VisionCohere | cross-developer peersimage, text |
Gemini Computer UseGoogle DeepMind | vs |  GLM-5V-TurboZ.ai | cross-developer peerstext |
Gemini Computer UseGoogle DeepMind | vs | Qwen3.7-PlusQwen | cross-developer peerstext |
Gemini Computer UseGoogle DeepMind | vs | Gemini 2.5 ProGoogle DeepMind | family variantstext |
Primary Evidence
Sources and Freshness
Questions
Claude Haiku 4.5 vs Gemini Computer Use FAQs
Is Claude Haiku 4.5 or Gemini Computer Use better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Haiku 4.5 and Gemini Computer Use, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Haiku 4.5 or Gemini Computer Use?+
Claude Haiku 4.5 is $1.00 and Gemini Computer Use is $1.25 per million tokens, so Claude Haiku 4.5 is cheaper on this metric. Claude Haiku 4.5 is $5.00 and Gemini Computer Use is $10.00 per million tokens, so Claude Haiku 4.5 is cheaper on this metric.
Which has a larger context window, Claude Haiku 4.5 or Gemini Computer Use?+
Claude Haiku 4.5 has the larger sourced context window. Claude Haiku 4.5 supports 200,000 and Gemini Computer Use supports 128,000.
Which performs better in benchmarks, Claude Haiku 4.5 or Gemini Computer Use?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Haiku 4.5 or Gemini Computer Use be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Haiku 4.5 is not marked open weight; Gemini Computer Use is not marked open weight.
Can Claude Haiku 4.5 and Gemini Computer Use understand images?+
Claude Haiku 4.5 is documented with image input; Gemini Computer Use is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Haiku 4.5 or Gemini Computer Use?+
Neither has a larger sourced maximum output. Claude Haiku 4.5 is 64,000 and Gemini Computer Use is 64,000.
Do Claude Haiku 4.5 and Gemini Computer Use support reasoning and tool use?+
Claude Haiku 4.5: reasoning, tool calling, and image input. Gemini Computer Use: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Haiku 4.5 or Gemini Computer Use?+
Claude Haiku 4.5 has 1 sourced provider route; Gemini Computer Use has 1, a tie.
Which offers better value, Claude Haiku 4.5 or Gemini Computer Use?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.