See key specs and per-benchmark scores for each model/mode. Scroll horizontally for all columns. 当前对比 2 个模型的评测数据与核心参数。

Gemini 3.0 Flash
Google Deep Mind
Each axis is a category average, normalized to a 100-point radar.
Relative edge: OpenClaw智能体能力综合测评 +10.4 / Relative gap: 编程与软件工程 -4.8
Relative edge: 编程与软件工程 +4.8 / Relative gap: OpenClaw智能体能力综合测评 -10.4
Method: for each model and benchmark, the chart first averages all scores in the current mode scope instead of taking the best score, then averages those benchmark scores within each category. Only benchmarks with at least two selected models scored are included; missing values are not counted as zero.
Best overall
Gemini 3.0 Flash · 56.93
Best single
Gemini 3.0 Flash · GPQA Diamond 90.40
Modality coverage
Gemini 3.0 Flash · 4 modalities
Head to head
8
Benchmarks
6
Wins
2
Losses
+1.23
Average diff
Compare benchmark results across thinking modes and tool usage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Complete scores for each model/mode across selected benchmarks.
8 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Gemini 3.0 Flash | GPT-5.4 mini |
|---|---|---|
GPQA Diamond 综合评估 | 90.40Thinking Enabled | 88.00Thinking Level · Extra High |
HLE 综合评估 | 43.50Thinking Enabled | Tools | 41.50Thinking Level · Extra High | Tools |
LiveBench 综合评估 | 72.40Thinking Level · High | 67.54Deep Thinking Mode |
SWE-Bench Pro - Public 编程与软件工程 | 49.60Thinking Level · High | Tools | 54.40Thinking Level · Extra High | Tools |
4.20Standard Mode | 2.10Thinking Level · High | |
MCP-Atlas AI Agent - 工具使用 | 62.00Standard Mode | Tools | 56.70Thinking Level · Extra High | Tools |
Terminal Bench 2.0 AI Agent - 工具使用 | 47.60Thinking Enabled | Tools | 60.00Thinking Level · Extra High | Tools |
Claw Bench OpenClaw智能体能力综合测评 | 85.70Thinking Enabled | Tools | 75.30Thinking Enabled | Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | Gemini 3.0 FlashGoogle Deep Mind | GPT-5.4 miniOpenAI |
|---|---|---|
Core specsRelease | 2025-12-17 | 2026-03-17 |
Context length | 2000K | 400K |
Max output | 65536 | 131072 |
MoE | No | No |
Supported modes | 常规模式(Non-Thinking Mode)思考模式(Thinking Mode)深度思考(Deeper Thinking Mode) | No mode data |
LicenseCode Open Source | Not provided | Not provided |
Weights Open Source | Not provided | Not provided |
Commercial use | 不开源 | 不开源 |
Modality supportText Input/Output | / | / |
Image Input/Output | / | / |
Audio Input/Output | / | Not provided |
Video Input/Output | / | Not provided |
ResourcesPaper / report | Gemini 3 Flash: frontier intelligence built for speed | Introducing GPT-5.4 mini and nano |
DataLearner blog | Gemini 3 Flash:Google 在 12 月 17 日发布的新一代默认模型 | Not provided |

GPT-5.4 mini
OpenAI