Google DeepMind

Gemini 3.5 Flash

Tool callingStructured outputReasoningImage inputAudio inputVideo inputFile input
Gemini 3.5 Flash launch post cover

Fast Gemini model balancing multimodal reasoning, tool use, and cost

Context
1.0M
Released
4mo ago
Input / 1M tokens
$1.50
Output / 1M tokens
$9.00
Cached input / 1M tokens
$0.15
Cache write / 1M tokens
$0.08

Sources:models.devOpenRouter

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

DeepSWE 1.1

Primary coding-agent benchmark · 113 tasks · Data generated 2026-09-22

Official leaderboard
36.1%
pass@1 · highest published configuration
mini-swe-agent · high reasoning
pass@4
63.7%
Average cost / attempt
$3.45
Benchmark runs
4

pass@1 is the success rate across scored attempts; pass@4 is the share of tasks solved in at least one of four attempts. Costs are reported by DeepSWE for each configuration. These results are not directly comparable to evaluations using different harnesses. Official source JSON.

Other published benchmarks

EvaluationReported score and source
ARC-AGI-2
72.1%
Third-party evaluator · gemini-3.5-flash_high
Reasoning effort: high
External evaluation via Epoch AI
Original-source terms apply
ARC-AGI-2
8.9%
Third-party evaluator · gemini-3.5-flash_minimal
Reasoning effort: minimal
External evaluation via Epoch AI
Original-source terms apply
FrontierMath-2025-02-28-Private
39.0%
Epoch AI · gemini-3.5-flash_high
Reasoning effort: high
Epoch AI evaluation
FrontierMath-Tier-4-2025-07-01-Private
14.6%
Epoch AI · gemini-3.5-flash_high
Reasoning effort: high
Epoch AI evaluation
FrontierMath-Tier-4-v2-Private
26.8%
Epoch AI · gemini-3.5-flash_high
Reasoning effort: high
Epoch AI evaluation
FrontierMath-Tiers-1-3-v2-Private
62.8%
Epoch AI · gemini-3.5-flash_high
Reasoning effort: high
Epoch AI evaluation
GPQA diamond
92.8%
Epoch AI · gemini-3.5-flash_high
Reasoning effort: high
Epoch AI evaluation
GPQA diamond
88.9%
Epoch AI · gemini-3.5-flash_low
Reasoning effort: low
Epoch AI evaluation
GPQA diamond
86.4%
Epoch AI · gemini-3.5-flash_minimal
Reasoning effort: minimal
Epoch AI evaluation
OTIS Mock AIME 2024-2025
95.6%
Epoch AI · gemini-3.5-flash_high
Reasoning effort: high
Epoch AI evaluation
OTIS Mock AIME 2024-2025
88.9%
Epoch AI · gemini-3.5-flash_low
Reasoning effort: low
Epoch AI evaluation
OTIS Mock AIME 2024-2025
80.0%
Epoch AI · gemini-3.5-flash_minimal
Reasoning effort: minimal
Epoch AI evaluation
SimpleQA Verified
66.2%
Epoch AI · gemini-3.5-flash_high
Reasoning effort: high
Epoch AI evaluation
SWE-Bench verified
79.3%
Epoch AI · gemini-3.5-flash_high
Reasoning effort: high
Epoch AI evaluation

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Specifications

Model family
Gemini
Type
Language model
Predecessor
—
Successor
—
Models built on this
Released
May 19, 2026
Model ID
google/gemini-3.5-flash
Openness
Closed
License
—
Input modalities
text, image, video, file, audio
Output modalities
text
Modality
text+image+file+audio+video->text
Tokenizer
Gemini
Max output tokens
66K
Knowledge cutoff
2025-01
Hugging Face
—
Source freshness
Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
Source model
google/gemini-3.5-flash
Source family
gemini-flash
Last updated
2026-05-19
Knowledge cutoff
2025-01
Model context
1.0M
Model output limit
66K
Open weights
No
File attachments
Yes
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Temperature control
Yes

Published benchmarks

BenchmarkScoreEvaluation detailsEvidence
Terminal-Bench76.2 · success rateTerminus-2 · 2.1 · 2026-05-19Source
SWE-Bench Pro55.1 · resolve ratepublic · single attempt · 2026-05-19Source
MCP Atlas83.6 · success rate2026-05-19Source
Toolathlon56.5 · success rate2026-05-19Source
OSWorld-Verified78.4 · success rate2026-05-19Source
MMMU Pro83.6 · accuracyno tools · 2026-05-19Source
CharXiv Reasoning84.2 · accuracyno tools · 2026-05-19Source
Humanity's Last Exam40.2 · accuracyfull set, text + MM · 2026-05-19Source
ARC-AGI-272.1 · accuracy2026-05-19Source
GDPval-AA1656 · Elo2026-05-19Source
Complete source record (JSON)
{
  "id": "google/gemini-3.5-flash",
  "name": "Gemini 3.5 Flash",
  "description": "Fast Gemini model balancing multimodal reasoning, tool use, and cost",
  "family": "gemini-flash",
  "last_updated": "2026-05-19",
  "knowledge": "2025-01",
  "attachment": true,
  "reasoning": true,
  "tool_call": true,
  "structured_output": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text",
      "image",
      "video",
      "audio",
      "pdf"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 1048576,
    "output": 65536
  },
  "benchmarks": [
    {
      "name": "Terminal-Bench",
      "score": 76.2,
      "source": "https://deepmind.google/models/gemini/flash/",
      "metric": "success rate",
      "harness": "Terminus-2",
      "version": "2.1",
      "date": "2026-05-19"
    },
    {
      "name": "SWE-Bench Pro",
      "score": 55.1,
      "source": "https://deepmind.google/models/gemini/flash/",
      "metric": "resolve rate",
      "variant": "single attempt",
      "dataset": "public",
      "date": "2026-05-19"
    },
    {
      "name": "MCP Atlas",
      "score": 83.6,
      "source": "https://deepmind.google/models/gemini/flash/",
      "metric": "success rate",
      "date": "2026-05-19"
    },
    {
      "name": "Toolathlon",
      "score": 56.5,
      "source": "https://deepmind.google/models/gemini/flash/",
      "metric": "success rate",
      "date": "2026-05-19"
    },
    {
      "name": "OSWorld-Verified",
      "score": 78.4,
      "source": "https://deepmind.google/models/gemini/flash/",
      "metric": "success rate",
      "date": "2026-05-19"
    },
    {
      "name": "MMMU Pro",
      "score": 83.6,
      "source": "https://deepmind.google/models/gemini/flash/",
      "metric": "accuracy",
      "variant": "no tools",
      "date": "2026-05-19"
    },
    {
      "name": "CharXiv Reasoning",
      "score": 84.2,
      "source": "https://deepmind.google/models/gemini/flash/",
      "metric": "accuracy",
      "variant": "no tools",
      "date": "2026-05-19"
    },
    {
      "name": "Humanity's Last Exam",
      "score": 40.2,
      "source": "https://deepmind.google/models/gemini/flash/",
      "metric": "accuracy",
      "dataset": "full set, text + MM",
      "date": "2026-05-19"
    },
    {
      "name": "ARC-AGI-2",
      "score": 72.1,
      "source": "https://deepmind.google/models/gemini/flash/",
      "metric": "accuracy",
      "date": "2026-05-19"
    },
    {
      "name": "GDPval-AA",
      "score": 1656,
      "source": "https://deepmind.google/models/gemini/flash/",
      "metric": "Elo",
      "date": "2026-05-19"
    }
  ],
  "release_date": "2026-05-19",
  "open_weights": false
}

Infrastructure

Provider availability

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
Googlegoogle-vertex/global/flex1.0M$0.75$4.50$0.08$0.04100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/global/flexBatch pricing1.0M$0.75$4.50$0.08$0.04100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Google AI Studiogoogle-ai-studio/flex1.0M$0.75$4.50$0.08$0.04100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Google AI Studiogoogle-ai-studio/flexBatch pricing1.0M$0.75$4.50$0.08$0.04100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/global1.0M$1.50$9.00$0.15$0.0896.74%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/globalBatch pricing1.0M$1.50$9.00$0.15$0.0899.86%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Google AI Studiogoogle-ai-studio1.0M$1.50$9.00$0.15$0.0899.79%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Google AI Studiogoogle-ai-studioBatch pricing1.0M$1.50$9.00$0.15$0.0899.79%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/us1.0M$1.65$9.90$0.17$0.08100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/usBatch pricing1.0M$1.65$9.90$0.17$0.08100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/global/priority1.0M$2.70$16.20$0.27$0.15100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/global/priorityBatch pricing1.0M$2.70$16.20$0.27$0.15100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Google AI Studiogoogle-ai-studio/priority1.0M$2.70$16.20$0.27$0.15100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Google AI Studiogoogle-ai-studio/priorityBatch pricing1.0M$2.70$16.20$0.27$0.15100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter

Text provenance

Gemini app/web

Google SynthID text watermarking

Google DeepMind says text generated in the Gemini app and web experience is watermarked with SynthID by adjusting token probabilities.

Official explanation