Gemini 2.5 Flash vs Claude Haiku 4.5
Comparing two efficient models for latency-sensitive, high-volume tasks like tagging, routing, and short-form generation.
Quick answer: Gemini 2.5 Flash lists lower prices ($0.30/$2.50 per 1M versus $1/$5) and a 1M-token context window versus 200k; Claude Haiku 4.5 is positioned as the dependable fast tier for quality-sensitive short tasks.
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 | Gemini 2.5 Flash | Claude Haiku 4.5 |
|---|---|---|
| Provider | Anthropic | |
| Input / 1M tokens | $0.3 | $1 |
| Output / 1M tokens | $3 | $5 |
| Cached input / 1M tokens | $0.08 | $0.1 |
| Batch discount | 50% off | 50% off |
| Context window | 1,000,000 tokens | 200,000 tokens |
| Source | Google pricing ↗ | Anthropic pricing ↗ |
$400 vs $1,000 / month (100k calls, 5k in / 1k out)
1,000,000 tokens
First benchmark: JSON extraction, 100 real tasks — target ship 2026-09-15
Capabilities
Gemini 2.5 Flash offers a 1M token context window, very low per-token pricing, and prompt caching, tuned for speed and volume.
Best for
Volume tagging, routing and long-input lightweight tasks where the 1M window and $0.30 input price both matter.
Limitations
At the very cheapest tier, output quality on nuanced tasks is the risk — verify with a sampled evaluation before standardizing.
Capabilities
Claude Haiku 4.5 is a fast, cost-efficient tier with a 200k context window, prompt caching, and strong reliability for its class.
Best for
Short, latency-sensitive tasks where small-tier reliability is worth paying roughly 3× the list price.
Limitations
$1/$5 per 1M lists above Gemini 2.5 Flash on both directions, and 200k tokens covers a fraction of Flash's window.
Both target the same efficient tier, so the choice usually comes down to context needs and which model your tasks tolerate. Gemini 2.5 Flash’s larger window helps with longer inputs; Claude Haiku 4.5 is a common default for dependable short tasks. Run a representative batch to confirm which keeps your quality bar at the lowest cost.
Updated 2026-08-18. Sources: Google and Anthropic 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 officialGoogle and Anthropic 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/.