Gemini 3.5 Flash
Googlefamily · Gemini 3.5ai.google.dev/gemini-api/docs/models/gemini-3.5-
Our legacy Flash model, providing baseline speed and foundational performance for routine, high-throughput workloads.
Updated 5 h ago · first seen 11 Sept 2026
model_01M293V7SSHKYPK7DZ0A8A1T9H
Overview
Identity
- Canonical model
- Yesidentity confidence: highOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
- Official checkpoints
- None recorded — closed weightsofficial_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
- Artifacts
- None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
- Provider deployments
- 2
- API aliases
- gemini-3-5-flashgemini-3-5-flash-mediumgemini-3-5-flash-minimalgemini-3.5-flashgoogle/gemini-3.5-flashIdentifiers under which providers and evaluators refer to this model.
- Folded evaluation variants
- 3Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.
Openness
Closed / proprietary— weights not available; 7 dimensions unknown.
Weights are not available; the model is reachable only through an API or a product.
Weights
No
Inference code
—
Training code
—
Training data
—
Dataset
—
Commercial use
—
Redistribution
—
Derivatives
—
dimensions marked null are unknown, not false
Key facts
- Release date
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
- Status
Source:Google AI for Developers (Gemini API docs)T1observed 15 h agohigh
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
- Official page
Source:Google AI for Developers (Gemini API docs)T1observed 15 h agohigh
- API model id
Source:Google AI for Developers (Gemini API docs)T1observed 15 h agohigh
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
Architecture
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
Capabilities
Modalities
- Modalities
- audiodocumentimagetextvideo
- Input
- audiodocumentimagetextvideo
- Output
- text
Capabilities
Tool calling
Yes
Google AI for Developers (Gemini API docs) · T1
Structured output
Yes
Google AI for Developers (Gemini API docs) · T1
Reasoning
Yes
Google AI for Developers (Gemini API docs) · T1
Vision
Yes
Google AI for Developers (Gemini API docs) · T1
Audio
Yes
Google AI for Developers (Gemini API docs) · T1
Fine-tuning available
Unavailable
- Context window
Source:Google AI for Developers (Gemini API docs)T1observed 5 h agohigh
- Max output
Source:Google AI for Developers (Gemini API docs)T1observed 15 h agohigh
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
Benchmarks56
Compare with another model →Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric
Current rows only, grouped by benchmark → canonical metric → comparability group (task configuration). Effort variants folded into this model appear as rows of the same group. 56 current rows in total. “vs leader” compares with the current leader of the benchmark's primary group only; other groups are not directly comparable. Comparability rules →
Providers & Pricing5
All offers in the price terminal →USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →
Price history
Output price · USD / 1M tokens 2 providers
- Google Gemini API
- OpenRouter
- OpenRouter$9 → $4.512 Sept 2026
- OpenRouterfirst observed $912 Sept 2026
- Google Gemini API$9 → $4.511 Sept 2026
- Google Gemini APIfirst observed $911 Sept 2026
Input price · USD / 1M tokens 2 providers
- Google Gemini API
- OpenRouter
- OpenRouter$1.5 → $0.7512 Sept 2026
- OpenRouterfirst observed $1.512 Sept 2026
- Google Gemini API$1.5 → $0.7511 Sept 2026
- Google Gemini APIfirst observed $1.511 Sept 2026
Versions & Artifacts0
Version history
Context window2 changes
11 Sept 2026→11 Sept 2026→12 Sept 2026current
Knowledge cutofffirst observation only
11 Sept 2026current
Max outputfirst observation only
11 Sept 2026current
Opennessfirst observation only
11 Sept 2026current
Statusfirst observation only
11 Sept 2026current
Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.
Artifacts 0
No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.
Timeline30
Full timeline →OpenRouter lists Gemini 3.5 Flash at $0.75 in / $4.5 out per 1M tokens
openrouterOpenRouter lists Gemini 3.5 Flash at $1.5 in / $9 out per 1M tokens
openrouterGemini 3.5 Flash scores 40.91% on Terminal-Bench
artificial_analysisGemini 3.5 Flash scores 78.65% on Terminal-Bench
artificial_analysisGemini 3.5 Flash scores 6.57% on Terminal-Bench
artificial_analysisGemini 3.5 Flash scores 95.32% on τ²-bench
artificial_analysisGemini 3.5 Flash scores 84.28% on MMMU-Pro
artificial_analysisGemini 3.5 Flash scores 76.33% on IFBench
artificial_analysisGemini 3.5 Flash scores 53.94% on SciCode
artificial_analysisGemini 3.5 Flash scores 42.68% on Humanity's Last Exam
artificial_analysisGemini 3.5 Flash scores 92.22% on GPQA Diamond
artificial_analysisGemini 3.5 Flash scores 32.98 on Artificial Analysis Intelligence Index
artificial_analysisGemini 3.5 Flash scores 46.21% on Terminal-Bench
artificial_analysisGemini 3.5 Flash scores 58.77% on τ²-bench
artificial_analysisGemini 3.5 Flash scores 80.12% on MMMU-Pro
artificial_analysisGemini 3.5 Flash scores 47.28% on IFBench
artificial_analysisGemini 3.5 Flash scores 24.1% on Humanity's Last Exam
artificial_analysisGemini 3.5 Flash scores 82.83% on GPQA Diamond
artificial_analysisGemini 3.5 Flash scores 23.85 on Artificial Analysis Intelligence Index
artificial_analysisGemini 3.5 Flash scores 39.39% on Terminal-Bench
artificial_analysisGemini 3.5 Flash scores 95.61% on τ²-bench
artificial_analysisGemini 3.5 Flash scores 83.87% on MMMU-Pro
artificial_analysisGemini 3.5 Flash scores 74.56% on IFBench
artificial_analysisGemini 3.5 Flash scores 41.33% on Humanity's Last Exam
artificial_analysisGemini 3.5 Flash scores 92.12% on GPQA Diamond
artificial_analysisGemini 3.5 Flash scores 33.63 on Artificial Analysis Intelligence Index
artificial_analysisGemini 3.5 Flash: reasoning changed from false to true
ReasoningNo→YesgoogleGemini 3.5 Flash: capabilities changed from ["Caching", "Code execution", "Computer use", "File searc… to ["caching", "code_execution", "computer_use", "file_searc…
CapabilitiesCaching, Code execution, Computer use, File search, Function calling, Grounding with Google Maps, Search grounding, Structured outputs, Thinking, URL context→caching, code_execution, computer_use, file_search, function_calling, maps_grounding, reasoning, search_grounding, structured_output, url_contextgoogleGemini 3.5 Flash: context length changed from 1000000 to 1048576
Context window1M tokens→1.05M tokensgoogleGemini 3.5 Flash: family changed from Gemini to Gemini 3.5
FamilyGemini→Gemini 3.5google
Change history61
Viewing AI Atlas as of 5 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.
Back to today →Gemini 3.5 Flash was not yet in AI Atlas on 5 Sept 2026
Familyfamily2
Release daterelease_date1
Statusstatus2conflicting claims
Opennessopenness3
Context windowcontext_length5conflicting claims
Max outputmax_output_tokens1
Knowledge cutoffknowledge_cutoff1
Modalitiesmodalities8conflicting claims
Input modalitiesmodalities_input8conflicting claims
Output modalitiesmodalities_output1
Tokenizertokenizer1
API model idapi_model_id1
Official pageofficial_url1
Aa context windowaa_context_window1
Aa deprecatedaa_deprecated1
Aa opennessaa_openness1
Audioaudio1
Capabilitiescapabilities2
Capabilities rawcapabilities_raw1
Descriptiondescription1
File inputfile_input1
Latest updatelatest_update1
Aa median output tokens per secondmetric.aa_median_output_tokens_per_second4
Openrouter idopenrouter_id1
Openrouter listed atopenrouter_listed_at1
Reasoningreasoning4
Structured outputstructured_output1
Supported parameterssupported_parameters1
Tool callingtool_calling1
Versionsversions1
Visionvision1
Weights availableweights_available1
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Provenance
Attributed facts
32
Source tiers
T1T219 / 13
Freshest observation
5 h ago
Conflicts
16 flagged
Source documents 6
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (74/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →