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ModelTape / Models / Gemini 3.6 Flash
Google · API-only (closed weights)

Gemini 3.6 Flash

Gemini 3.6 Flash is an API-only (closed weights) language model from Google, released July 21, 2026. The context window is 1M tokens. On the Epoch Capabilities Index it scores 155.2, rank 44 of 256 rated models. API price: $0.75 input / $3.75 output per million tokens.

3.6 Flash: Our workhorse model that delivers better coding, knowledge work, and multimodal performance. According to the Artificial Analysis Index, it reduces output token usage by 17% compared to 3.5 Flash, and in some benchmarks like DeepSWE by Datacurve, we observe up to 65%, all at a lower cost per output token.

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Lab
Google
Released
July 21, 2026
Weights
API-only (closed weights)
Parameters
–
Context
1M
Price / M tokens
$0.75 / $3.75 in / out
Epoch ECI
155.2 #44

Strengths by category

ModelTape's 0–100 fit on Epoch AI benchmark results.

CategoryScoreBased on
Reasoning21.0Chess Puzzles, Mystery Game Puzzles
Math46.2ProofBench, OTIS Mock AIME 2024-2025, FrontierMath-Tiers-1-3-v2-Private, FrontierMath-Tier-4-v2-Private
Coding46.4MirrorCode, DeepSWE
Knowledge81.8GPQA diamond, SimpleQA Verified

Benchmark results

Benchmark (Epoch AI)Score
GPQA Diamond96.0%
OTIS Mock AIME94.2%
SimpleQA Verified66.2%
FrontierMath (Tiers 1–3)62.0%
DeepSWE46.7%
Chess Puzzles39.0%
ProofBench36.0%
MirrorCode23.3%
Mystery Game Puzzles22.9%
FrontierMath-Tier-4-v2-Private22.0%
Furniture Assembly0.0%

Links

Announcement · Epoch AI benchmarks

Models with a similar score

Gemini 3.8 Flash · Kimi K3 · Gemini 3.7 Flash · Muse Spark 1.3 · GPT-5.4 · Grok 4.6 · Qwen 3.8 Max · Claude Opus 4.7

More from Google

Gemini 4 Carbon · Gemini 4 Argon · Gemini 3.8 Flash · Gemini 3.7 Flash · Gemini 3.5 Flash-Lite · Gemini 3.5 Flash Cyber · Gemma 4 E4B · Gemma 4 E2B

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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