Gemini 3.0 FlashvsHaiku 4.5
Across 6 shared benchmarks, Gemini 3.0 Flash leads overall: Gemini 3.0 Flash wins 5, Haiku 4.5 wins 1, with 0 ties and an average score difference of +11.62.
Gemini 3.0 Flash
Google Deep Mind · 2025-12-17 · Chat model
Haiku 4.5
Anthropic · 2025-10-15 · Multimodal model
Gemini 3.0 Flash5 wins(83%)(17%)1 winHaiku 4.5
Benchmark scores
Grouped by capability, sorted by largest gap within each. 6 shared benchmarks.
Claw-style Agent Evaluation
Even 2/2| Benchmark | Gemini 3.0 Flash | Haiku 4.5 | Diff |
|---|---|---|---|
| Claw Bench | 85.7015 / 29Thinking (With Tools) | 89.4011 / 29Thinking (With Tools) | -3.70 |
| Pinch Bench | 85.2017 / 38Thinking (With Tools) | 8222 / 38Thinking (With Tools) | +3.20 |
AI Agent - Tool Usage
Gemini 3.0 Flash 1/1| Benchmark | Gemini 3.0 Flash | Haiku 4.5 | Diff |
|---|---|---|---|
| MCP-Atlas | 6235 / 43Normal (With Tools) | 40.2043 / 43Normal (With Tools) | +21.80 |
General Evaluation
Gemini 3.0 Flash 1/1| Benchmark | Gemini 3.0 Flash | Haiku 4.5 | Diff |
|---|---|---|---|
| GPQA Diamond | 81.20215 / 462Normal (No Tools) | 60.50375 / 462Normal (No Tools) | +20.70 |
General Knowledge
Gemini 3.0 Flash 1/1| Benchmark | Gemini 3.0 Flash | Haiku 4.5 | Diff |
|---|---|---|---|
| LiveBench | 56.3581 / 117Normal (No Tools) | 45.33105 / 117Normal (No Tools) | +11.02 |
Math and Reasoning
Gemini 3.0 Flash 1/1| Benchmark | Gemini 3.0 Flash | Haiku 4.5 | Diff |
|---|---|---|---|
| AIME2025 | 55.70146 / 215Normal (No Tools) | 39168 / 215Normal (No Tools) | +16.70 |
Specs
| Field | Gemini 3.0 Flash | Haiku 4.5 |
|---|---|---|
| Publisher | Google Deep Mind | Anthropic |
| Release date | 2025-12-17 | 2025-10-15 |
| Model type | Chat model | Multimodal model |
| Architecture | Dense | Dense |
| Parameters | Not available | Not available |
| Context length | 2000K | 200K |
| Max output | 64K | 64K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Gemini 3.0 Flash | Haiku 4.5 |
|---|---|---|
| Text input | $0.5 / 1M tokens | $1 / 1M tokens |
| Text output | $3 / 1M tokens | $5 / 1M tokens |
| Cache read | Not public | $0.1 / 1M tokens |
| Cache write | Not public | $1.25 / 1M tokens |
Summary
- Gemini 3.0 Flashleads in:AI Agent - Tool Usage (1/1), General Evaluation (1/1), General Knowledge (1/1), Math and Reasoning (1/1)
- Tied in:Claw-style Agent Evaluation
On average across the 6 shared benchmarks, Gemini 3.0 Flash scores 11.62 higher.
Largest single-benchmark gap: MCP-Atlas — Gemini 3.0 Flash 62 vs Haiku 4.5 40.20 (+21.80).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.