Gemini 3.5 Flash (High)
GoogleGeminiProprietary
Description
Gemini 3.5 Flash is Google's strongest agentic and coding model in the Flash series, delivering frontier-level performance at up to 4x the speed of comparable frontier models and often at less than half the cost. Built to execute complex, agentic workflows, it outperforms Gemini 3.1 Pro on coding and agentic benchmarks while leading in multimodal understanding. It supports a 1 million-token input context window with 64k output tokens and uses dynamic thinking by default.
Release Date
2026-05-19
Parameters
—
Context Length
1.0M
Modalities
audio, image, pdf, text, video
Capability Radar
35
general
68
coding
92
reasoning
69
science
70
agents
80
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Agentic Capability | 24 | 60.0 | LS |
| Code Ranking | 74 | 79.0 | AA |
| General Ranking | 29 | 74.0 | AA |
| Math Reasoning | 35 | 88.0 | LB |
| Multimodal Ranking | 25 | 61.0 | LS |
| Science | 32 | 81.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Agents
Finance Agent
57.9%SR
Finance Agent v2
57.9%
Toolathlon
56.5%SR
Blueprint-Bench 2
33.6%SR
Code
DeepSWE 1.1
37.0%
Legal
Legal Agent Benchmark
0.8%
Long Context
MRCR v2 (8-needle)
26.6%SR
Math
LiveBench
75.0%
Multimodal
OSWorld-Verified
78.4%SR
Reasoning
CharXiv-R
84.2%SR
MCP Atlas
83.6%SR
Terminal-Bench 2.0Stanford × Laude Institute (2026)
76.2%SR
ARC-AGI v2
72.1%SR
SWE-Bench ProPrinceton NLP (2024)
55.1%SR
Humanity's Last Exam
40.2%SR
Vision
MMMU-Pro
83.6%SR
AA Evaluation Indices
(Artificial Analysis)Tau2(Sierra + U Toronto + Vector Institute (2025))95.3
Gpqa(NYU + Cohere + Anthropic (2023))92.2
Terminalbench V2 178.7
Ifbench(Google Research (2023))76.3
Lcr(Artificial Analysis)73.3
Coding Index(Artificial Analysis)70.1
Scicode(UIUC + Argonne National Lab (2024))53.9
Hle(Center for AI Safety + Scale AI (2025))42.7
Terminalbench Hard(Stanford × Laude Institute (2026))40.9
Intelligence Index(Artificial Analysis)32.6
Tau Banking32.2
Terminalbench V4 06.6
LLM Stats Category Scores
(LLM Stats (zeroeval))Multimodal80
Spatial Reasoning70
Tool Calling70
Vision70
Long Context60
Math60
Reasoning60
Finance60
General60
Agents60
Code60
Legal0
Pricing
Input Price$1.5 / 1M tokens
Output Price$9 / 1M tokens
Blended Price (3:1)$3.375 / 1M tokens
Cache Read Price$0.15 / 1M tokens
Speed
Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s
Provider Price Ranking
Provider Price Ranking
4 providers
Cheapest: GoogleMost Expensive: Venice AI
ProviderInputOutput
1GoogleCheapest
$0
$0.00001
2DeepInfra
$0
$0.00001
3Neon
$1.5
$9
4Venice AI
$1.55
$9.45
Compare pricing across different API providers for this model.