Google DeepMind · multimodal · Released 2026-01-01

Gemini 3 Flash: pricing, context window and benchmarks

Gemini 3 Flash is a multimodal model from Google DeepMind. It offers a 128,000-token context window, costs $15.67 per million input tokens and $70.15 per million output tokens, and averages 83.6 across the index's benchmark suite.

reasoningcodingvisionmultimodal
Input price
$15.67
per 1M tokens
Output price
$70.15
per 1M tokens
Context
128,000
tokens
Avg score
83.6
rank #69 of 600
Arena Elo
1450.7
modelled
Max output
65,536
tokens

Pricing

Gemini 3 Flash costs $15.67 per million input tokens and $70.15 per million output tokens. A blended 3:1 input-to-output mix works out to about $29.29 per million tokens. Cached input is listed at $1.28 per million tokens.

ItemPriceNotes
Input$15.67per 1M tokens
Output$70.15per 1M tokens
Cached input$1.28per 1M tokens
Blended 3:1$29.29estimate per 1M tokens
1M in + 1M out$85.82estimate

Benchmarks

Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.7 87 86th
GPQA Diamond 80.3 52 91th
SWE-bench Verified 72.5 66 89th
HumanEval 86.2 100 83th
MATH-500 89.0 59 90th
AIME 2025 84.5 44 93th
LiveCodeBench 79.3 51 92th
IFEval 91.0 54 91th
TruthfulQA 84.8 66 89th
HellaSwag 89.8 91 85th
MMMU 78.2 92 85th
Arena Elo 1450.7 71 88th

What Gemini 3 Flash is good for

Gemini 3 Flash is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $15.67 per million input tokens, it sits in the mid-range of the index, and the 128,000-token context window is enough for large files and multi-file diffs.

Strengths

  • Large 128,000-token context window for long documents and agent traces.
  • Accepts more than text, including image input where the provider supports it.
  • Reasoning-oriented profile, useful for multi-step problems and structured analysis.
  • Coding benchmarks are a relative strength within its tier.

Trade-offs

  • Proprietary licence: you cannot download the weights or self-host the model.
  • Premium input pricing at $15.67 per million tokens.

How it compares

ModelProviderContextInput / 1MAvg score
Claude 3.7 Sonnet Max Anthropic 128000 $16.88 83.7
Claude 3.7 Sonnet Reasoning Anthropic 128000 $16.30 83.7
DeepSeek-V3.2 Instruct DeepSeek 128000 $5.91 83.7
Gemini 3 Flash Reasoning Google DeepMind 128000 $17.05 83.7
Gemini 2.5 Pro Pro Google DeepMind 400000 $17.16 83.6
Gemini 3 Flash Google DeepMind 128000 $15.67 83.6

Browse all comparisons →

FAQ

How much does Gemini 3 Flash cost?

Gemini 3 Flash is listed at $15.67 per million input tokens and $70.15 per million output tokens. Cached input is $1.28 per million tokens. A blended 3:1 input-to-output mix is about $29.29 per million tokens.

What is the context window of Gemini 3 Flash?

Gemini 3 Flash has a context window of 128,000 tokens and can emit up to 65,536 output tokens per request in this index.

Is Gemini 3 Flash open weights?

No. Gemini 3 Flash is a proprietary model with a proprietary licence, so you cannot download the weights.

How does Gemini 3 Flash score on benchmarks?

Gemini 3 Flash averages 83.6 across the scored benchmarks in this index, ranking #69 of 600 models. Its strongest relative result is Arena Elo at 1450.7.

What is Gemini 3 Flash best for?

Gemini 3 Flash is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $15.67 per million input tokens, it sits in the mid-range of the index, and the 128,000-token context window is enough for large files and multi-file diffs.

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