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 3.5 Flash
Google Deep Mind
Best overall
Gemini 3.5 Flash · 75.02
Best single
Gemini 3.5 Flash · LiveBench 75.02
Modality coverage
Gemini 2.5 Flash · 4 modalities
Head to head
1
Benchmarks
1
Wins
0
Losses
+27.28
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.
1 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Gemini 3.5 Flash | Gemini 2.5 Flash |
|---|---|---|
LiveBench 综合评估 | 75.02Thinking Level · High | 47.74Thinking Level · High |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | Gemini 3.5 FlashGoogle Deep Mind | Gemini 2.5 FlashGoogle Deep Mind |
|---|---|---|
Core specsRelease | 2026-06-20 | 2025-04-17 |
Context length | 1M | 1000K |
Max output | 65536 | 65536 |
MoE | No | No |
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 | Not provided | / |
Image Input/Output | Not provided | / |
Audio Input/Output | Not provided | / |
Video Input/Output | Not provided | / |
ResourcesPaper / report | Gemini 3.5: frontier intelligence with action | Start building with Gemini 2.5 Flash |
DataLearner blog | Not provided | 谷歌发布新一代大模型Gemini 2.5 Flash，成本、速度和性能的最优均衡，同时支持推理和非推理模式，评测结果超Sonnet 3.7 |
Gemini 2.5 Flash
Google Deep Mind
