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。
Claude Sonnet 4.6
Anthropic
Each axis is a category average, normalized to a 100-point radar.
Relative edge: AI Agent - 信息收集 +15.5 / Relative gap: 数学推理 -10.5
Relative edge: 数学推理 +10.5 / Relative gap: AI Agent - 信息收集 -15.5
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
Claude Sonnet 4.6 · 66.62
Best single
Gemini 3.0 Pro (Preview 11-2025) · τ²-Bench - Telecom 98.00
Modality coverage
Gemini 3.0 Pro (Preview 11-2025) · 4 modalities
Head to head
11
Benchmarks
7
Wins
3
Losses
+7.11
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.
11 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Claude Sonnet 4.6 | Gemini 3.0 Pro (Preview 11-2025) |
|---|---|---|
ARC-AGI-2 综合评估 | 58.30Thinking Enabled | 31.10Thinking Enabled |
GPQA Diamond 综合评估 | 89.90Thinking Enabled | 91.90Thinking Enabled |
HLE 综合评估 | 49.00Thinking Enabled ｜ Tools | 45.80Thinking Level · High ｜ Tools |
SWE-bench Verified 编程与软件工程 | 79.60Thinking Enabled | 76.20Thinking Enabled |
8.3016K | 18.80Thinking Enabled | |
τ²-Bench - Telecom Agent能力评测 | 97.90Thinking Enabled ｜ Tools | 98.00Thinking Level · High ｜ Tools |
BrowseComp AI Agent - 信息收集 | 74.70Thinking Enabled ｜ Tools | 59.20Thinking Level · High ｜ Tools |
Terminal Bench 2.0 AI Agent - 工具使用 | 59.10Thinking Enabled ｜ Tools | 56.90Thinking Level · High ｜ Tools |
GDPval-AA 生产力知识 | 57.00Thinking Enabled | 35.00Thinking Level · High |
AA-LCR 长上下文能力 | 71.00Thinking Enabled | 71.00Thinking Level · High |
Pinch Bench OpenClaw智能体能力综合测评 | 88.00Thinking Enabled ｜ Tools | 70.70Thinking Enabled ｜ Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | Claude Sonnet 4.6Anthropic | Gemini 3.0 Pro (Preview 11-2025)Google Deep Mind |
|---|---|---|
Core specsRelease | 2026-02-17 | 2025-11-18 |
Context length | 1M | 1000K |
Max output | 8192 | 65536 |
MoE | No | No |
Supported modes | 常规模式（Non-Thinking Mode）思考模式（Thinking Mode） | 常规模式（Non-Thinking Mode）思考模式（Thinking Mode）深度思考（Deeper Thinking Mode） |
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 | Introducing Claude Sonnet 4.6 | A new era of intelligence with Gemini 3 |
DataLearner blog | Not provided | 大模型新王者！谷歌发布Gemini 3.0 Pro，各方面评测几乎都是第一，全球首个大模型匿名投票得分超1500分的模型，支持100万输入上下文！ |
Gemini 3.0 Pro (Preview 11-2025)
Google Deep Mind
