Claude Haiku 4.5 vs Gemini 3 Pro
Direct comparison between anthropic and google for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: Claude Haiku 4.5
- · Longer context window: Gemini 3 Pro at 2,000,000 tokens
- · Claude Haiku 4.5: Very cheap per million tokens — good for bulk workloads
- · Gemini 3 Pro: 2M token context — largest window among top-tier models
Spec comparison
| Spec | Claude Haiku 4.5 | Gemini 3 Pro |
|---|---|---|
| Provider | anthropic | |
| Input per 1M tokens | $1.00 / 1M | $1.25 / 1M |
| Output per 1M tokens | $5.00 / 1M | $5.00 / 1M |
| Context window | 200,000 tok | 2,000,000 tok |
| Max output | 8,192 tok | 65,536 tok |
| Knowledge cutoff | 2025-07 | 2025-11 |
| Vision | ||
| Audio | ||
| Tool calling | ||
| JSON mode | ||
| Structured output | ||
| Reasoning |
Claude Haiku 4.5 — strengths
- +Very cheap per million tokens — good for bulk workloads
- +Low latency, comparable to Gemini 3 Flash
- +Vision-capable — rare in this price tier
Gemini 3 Pro — strengths
- +2M token context — largest window among top-tier models
- +True multimodal input: video, audio, image, text
- +Very strong on structured output and JSON-schema enforcement
Claude Haiku 4.5 — weaknesses
- −Weaker on multi-step reasoning than Sonnet
- −Only 8k output tokens — no full files in one response
Gemini 3 Pro — weaknesses
- −Code generation slightly behind Claude Sonnet 4.6 and GPT-5.4
- −At very long contexts, latency becomes significant