Gemini 3.5 Flash

google/gemini-3.5-flash-20260519

Google's Gemini 3.5 Flash is a multimodal model from Google that accepts text, image, video, file, and audio inputs and produces text output. It supports tool usage and reasoning, provides a context length of 1,048,576 tokens, and is priced at $1.5 per 1 M input tokens and $9 per 1 M output tokens. The model is not open‑weight and was released on 2026‑05‑19.

  • tool use
  • structured outputs
  • reasoning

At a glance

providergoogle
releasedMay 19, 2026
context1.0M
input / M$1.50

Specifications

What the API gives you

Context window
1.0M tokens
Max output
66K tokens
Input price
$1.50 / 1M tokens
Output price
$9 / 1M tokens
Cache read
$0.15 / 1M tokens
Modalities
text, image, video, file, audio → text
Knowledge cutoff
Jan 1, 2025
Released
May 19, 2026

Measured evidence

Public benchmark record

Design Arena Coding
1266 Elo2026-10-20
Design Arena UI
1273 Elo2026-10-20
Design Arena Web-app Agent
1202 Elo2026-10-20
Design Arena Website
1268 Elo2026-10-20
FACTS Grounding
73.2%2026-10-20
FrontierMath Tiers 1-3 (Epoch AI)‡
62.8% ± 2.92026-06-10high effort, evaluated 2026-06-10
GPQA Diamond (Epoch AI)‡
88.9% ± 2.22026-08-06low effort, evaluated 2026-08-06
GPQA Diamond (Epoch AI)‡
86.4% ± 2.42026-07-15minimal effort, evaluated 2026-07-15
GPQA Diamond (Epoch AI)‡
92.8% ± 1.62026-05-22high effort, evaluated 2026-05-22
LiveBench Coding
78.2%2026-10-18
LiveBench Language
84.6%2026-10-18
LiveBench Math
88.2%2026-10-18
LiveBench Reasoning
82%2026-10-18
LMArena Creative Writing
1468 Elo2026-10-15
LMArena Long Query
1483 Elo2026-10-15
LMArena Math
1503 Elo2026-10-15
LMArena Text
1477 Elo2026-10-15
LMArena Text Factuality
1477 Elo2026-10-15
LMArena Vision‡
1282 Elo2026-10-19high effort
LMArena Vision Diagrams‡
1305 Elo2026-10-19high effort
LMArena Vision OCR‡
1292 Elo2026-10-19high effort
LMArena WebDev‡
1499 Elo2026-10-19high effort
LMArena WebDev Image-to-Web‡
1501 Elo2026-10-19high effort
OTIS Mock AIME (Epoch AI)‡
88.9% ± 4.72026-08-06low effort, evaluated 2026-08-06
OTIS Mock AIME (Epoch AI)‡
80% ± 62026-07-15minimal effort, evaluated 2026-07-15
OTIS Mock AIME (Epoch AI)‡
95.6% ± 2.72026-05-25high effort, evaluated 2026-05-25
SimpleQA Verified (Epoch AI)‡
66.2% ± 1.52026-08-27high effort, evaluated 2026-08-27

LMArena data licensed CC-BY-4.0. Aider (Apache-2.0) and SWE-bench (MIT) are open. Design Arena uses blind human preference. ‡ Submitted scaffold plus model result. Compare the harness and effort settings, not only the model name.

Task evidence

How broad is the support?

Each status is exact to this model version and the selected task. Official release claims remain provisional.

  • Best LLM for Competition MathEstablished evidence

    100% of intended weighted task evidence across 4 independent sources. 6 of 6 configured evaluation feeds currently have results.

  • Best LLM for Business WritingEstablished evidence

    100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • 100% of intended weighted task evidence across 3 independent sources. 5 of 5 configured evaluation feeds currently have results.

  • Best LLM for Marketing CopyEstablished evidence

    100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for Chat & RoleplayEstablished evidence

    100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for Creative WritingEstablished evidence

    100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

Show all 39 tasks
  • Best LLM for Frontend & UIEstablished evidence

    100% of intended weighted task evidence across 3 independent sources. 6 of 6 configured evaluation feeds currently have results.

  • Best LLM for WritingEstablished evidence

    100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • 100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for Math & ReasoningEstablished evidence

    100% of intended weighted task evidence across 5 independent sources. 7 of 7 configured evaluation feeds currently have results.

  • 100% of intended weighted task evidence across 3 independent sources. 6 of 6 configured evaluation feeds currently have results.

  • 85% of intended weighted task evidence across 3 independent sources. 5 of 6 configured evaluation feeds currently have results.

  • Best LLM for SummarizationEstablished evidence

    85% of intended weighted task evidence across 3 independent sources. 5 of 6 configured evaluation feeds currently have results.

  • Best LLM for Code CompletionEstablished evidence

    79% of intended weighted task evidence across 2 independent sources. 3 of 3 configured evaluation feeds currently have results.

  • 64% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.

  • Best LLM for Grounded RAGEstablished evidence

    62% of intended weighted task evidence across 3 independent sources. 5 of 7 configured evaluation feeds currently have results.

  • 61% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.

  • 61% of intended weighted task evidence across 2 independent sources. 5 of 6 configured evaluation feeds currently have results.

  • Best LLM for Fast SummariesEstablished evidence

    58% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.

  • Best Value LLMEstablished evidence

    58% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.

  • Best LLM for CodingEstablished evidence

    53% of intended weighted task evidence across 3 independent sources. 7 of 7 configured evaluation feeds currently have results.

  • 50% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.

  • 50% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.

  • Best LLM for TranslationEstablished evidence

    50% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.

  • Best Local LLM for CodingEstablished evidence

    47% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • Best Cheap LLM for High VolumeEstablished evidence

    40% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.

  • Cheapest Capable LLMEstablished evidence

    40% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.

  • Best LLM for Agentic CodingEstablished evidence

    36% of intended weighted task evidence across 2 independent sources. 7 of 7 configured evaluation feeds currently have results.

  • 35% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.

  • 35% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.

  • 33% of intended weighted task evidence across 2 independent sources. 5 of 5 configured evaluation feeds currently have results.

  • Best LLM for OCR & DocumentsProvisional evidence

    65% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Structured-output eval or VLMEvalKit tasks. 3 of 5 configured evaluation feeds currently have results.

  • Best LLM for Charts & DiagramsProvisional evidence

    65% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Structured-output eval or VLMEvalKit tasks. 3 of 5 configured evaluation feeds currently have results.

  • 60% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Structured-output eval or VLMEvalKit tasks. 4 of 6 configured evaluation feeds currently have results.

  • Best LLM for Document ParsingProvisional evidence

    58% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Structured-output eval or VLMEvalKit tasks. 3 of 5 configured evaluation feeds currently have results.

  • Best LLM for Massive ContextProvisional evidence

    47% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LongBench v2. 2 of 3 configured evaluation feeds currently have results.

  • 21% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Route reliability or Structured-output eval. 1 of 3 configured evaluation feeds currently have results.

  • Best LLM for Autonomous AgentsProvisional evidence

    13% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Agent or LMArena Agent Task Outcome. 6 of 6 configured evaluation feeds currently have results.

  • Best LLM for AI AgentsProvisional evidence

    9% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or LMArena Agent. 9 of 9 configured evaluation feeds currently have results.

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