Claude Sonnet 4.5 vs Gemini 2.5 Pro
Comparing two high-capability models for knowledge-worker tasks such as summarization, multi-step reasoning, and working across very long inputs.
Quick answer: Gemini 2.5 Pro lists a lower input price ($1.25 vs $3 per 1M) and a 1M-token context window versus 200k; Claude Sonnet 4.5 lists a higher output price ($15 vs $10 per 1M) and is positioned around agentic reliability and structured output.
Pricing & context
All figures below are list prices pulled directly from the Harpd pricing registry (last verified 2026-08-18). Prices change often — open each model’s source link to confirm before budgeting. Machine-readable copy: /data/llm-pricing.json.
| Metric | Claude Sonnet 4.5 | Gemini 2.5 Pro |
|---|---|---|
| Provider | Anthropic | |
| Input / 1M tokens | $3 | $1 |
| Output / 1M tokens | $15 | $10 |
| Cached input / 1M tokens | $0.3 | $0.13 |
| Batch discount | 50% off | 50% off |
| Context window | 200,000 tokens | 1,000,000 tokens |
| Source | Anthropic pricing ↗ | Google pricing ↗ |
$1,625 vs $3,000 / month (100k calls, 5k in / 1k out)
1,000,000 tokens
First benchmark: JSON extraction, 100 real tasks — target ship 2026-09-15
Capabilities
Claude Sonnet 4.5 emphasizes agentic reliability and careful structured output, with a 200k context window and prompt caching for stable prefixes.
Best for
Agentic pipelines, careful structured extraction and document reasoning where the working set fits in 200k tokens.
Limitations
200k-token context caps single-shot document size, and $15 per 1M output is the higher output price of this pair.
Capabilities
Gemini 2.5 Pro offers a 1M token context window, native multimodal input, and strong reasoning, with built-in prompt caching for long contexts. Note that prompts over 200k tokens bill at higher rates ($2.50 input / $15 output per 1M).
Best for
Massive-context tasks up to 1M tokens, multimodal input, and long-document analysis where the >200k rate still beats splitting the workload.
Limitations
Prompts over 200k tokens jump to $2.50/$15 per 1M — near the top of the range — so the headline $1.25 input only applies to shorter prompts.
Neither model dominates the other on every axis, so the decision should follow your data and latency needs. Gemini 2.5 Pro’s 1M-token window is compelling for massive-context tasks, while Claude Sonnet 4.5 is often preferred for agentic and structured-output reliability. Run both against your real tasks to see which actually passes before switching.
Updated 2026-08-18. Sources: Anthropic and Google official pricing pages (verified 2026-08-18); no Harpd-measured benchmark yet.
Methodology & sources
Prices on this page come from the Harpd pricing registry, which mirrors the officialAnthropic and Google pricing pages and was last verified 2026-08-18. Capability notes summarize documented provider positioning — they are not Harpd measurements. Cheaper-cost claims are computed from the registry at a fixed reference workload, so they are reproducible from the published dataset. Read the pricing methodology and themodel replacement guide before switching a production workload.
Price tells you what a model costs. It does not tell you whether it can replace your current model on your real tasks.
- Benchmarks measured on Harpd are planned — see /benchmarks/.
- Full list-price table across providers: /llm-pricing/.