Gemini 3.0 Flash leads on the shared-benchmark average
Ahead on 5 of 6 shared benchmarks, averaging 11.8 points higher
Summarised only from the 6 percentage-scale benchmarks scored by every selected model; details are below. A further 1 historical, reverse-direction or differently scaled metrics are excluded; indexes, cost and time are not added to accuracy percentages.
“Best available” takes each model’s best recorded non-parallel result in the metric’s stated direction per benchmark, so it may combine modes into a virtual configuration that does not exist. Read it with the mode breakdown.

Haiku 4.5
Anthropic
Benchmark-by-benchmark comparison. Changing the thinking mode or tool filters updates the chart and table below.
“Best available” picks the best non-parallel result in the metric’s stated direction separately for each benchmark. The resulting series can combine several reasoning levels and is not one reproducible runtime configuration. Choose a mode filter to compare like-for-like runs.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Each axis is the mean percentage score of one benchmark domain. It is an average, not a capability rating.
Relative edge: none clear / Relative gap: Agent能力评测 -27.0
Relative edge: Agent能力评测 +27.0 / Relative gap: none clear
Method: for each model and benchmark, all scores in the current mode scope are averaged (not the best score), then those benchmark scores are averaged within each domain. Only benchmarks scored on a 0-100 scale by at least two of the selected models count — Elo and rating-scale benchmarks such as Codeforces or Arena are excluded, because averaging a 1500 rating with an 85% accuracy produces a meaningless number. Missing values are not counted as zero, and the averages are unweighted, so domains with harder benchmarks read lower.
Every model and runtime mode, benchmark by benchmark. Values are comparable along a row, not between different benchmarks.
20 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Haiku 4.5 | Gemini 3.0 Flash |
|---|---|---|
4.50Extended Thinking | 33.60Thinking Enabled | |
10.40Thinking Enabled | 43.50Thinking Enabled | Tools | |
61.3264K | 72.40Thinking Level · High | |
73.30Extended Thinking | 90.40Thinking Enabled | |
62.00Extended Thinking | 90.80Thinking Enabled | |
39.45Extended Thinking | Tools | 49.60Thinking Level · High | Tools | |
73.30128K | Tools | 68.70Thinking Enabled | |
96.30128K | Tools | 99.70Thinking Enabled | Tools | |
2.1032K | 4.20Standard Mode | |
40.20Standard Mode | Tools | 62.00Standard Mode | Tools | |
44.20Thinking Enabled | Tools | 58.00Thinking Level · High | Tools | |
58.60Thinking Enabled | 79.90Thinking Enabled | |
27.30Standard Mode | Tools | 38.60Thinking Enabled | Tools | |
33.00Standard Mode | Tools | 90.20Thinking Enabled | Tools | |
54.70Thinking Enabled | Tools | 91.23Thinking Level · High | Tools | |
9.30Thinking Enabled | Tools | 27.32Thinking Level · High | Tools | |
54.30Thinking Enabled | 78.00Thinking Enabled | |
89.40Thinking Enabled | Tools | 85.70Thinking Enabled | Tools | |
82.00Thinking Enabled | Tools | 85.20Thinking Enabled | Tools | |
67.70Thinking Level · High | 72.06Thinking Level · High |
Official list prices per model API, split by input and output. Unit: USD per 1M tokens.
Architecture, licensing and API modalities. "Not provided" means the field is missing from our database.
| Features & specs | Haiku 4.5Anthropic | Gemini 3.0 FlashGoogle Deep Mind |
|---|---|---|
Core specsRelease | 2025-10-15 | 2025-12-17 |
Context length | 200K | 2000K |
Max output length | 65,536 tokens | 65,536 tokens |
Architecture | Undisclosed | Undisclosed |
Runtime modes | 关闭开启 | 关闭16K32K4K64K8K开启深度 |
Availability & licensingCode availability | Not public | Not public |
Weight availability | Not public | Not public |
Use & commercial terms | Official service only; subject to provider terms | Official service only; subject to provider terms |
API modality supportText Input/Output | Input:YesOutput:Yes | Input:YesOutput:Yes |
Image Input/Output | Input:YesOutput:No | Input:YesOutput:No |
Audio Input/Output | Input:NoOutput:No | Input:YesOutput:No |
Video Input/Output | Input:NoOutput:No | Input:YesOutput:No |
ResourcesPaper / report | Introducing Claude Haiku 4.5 | Gemini 3 Flash: frontier intelligence built for speed |
DataLearner blog | Anthropic发布Claude Haiku 4.5:一个不可忽视的低成本模型,1/3的价格,1.5倍的速度,但是有Claude Sonnet 4的水平! | Gemini 3 Flash:Google 在 12 月 17 日发布的新一代默认模型 |

Gemini 3.0 Flash
Google Deep Mind