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ModelTape / Models / Gemini 3.8 Flash
Google · API-only (closed weights)

Gemini 3.8 Flash

Gemini 3.8 Flash is an API-only (closed weights) language model from Google, released September 2, 2026. The context window is 1M tokens. On the Epoch Capabilities Index it scores 158.8, rank 23 of 256 rated models. API price: $0.75 input / $3.75 output per million tokens.

Gemini 3.8 Flash is our most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows—all with the speed and cost efficiency of Flash.

Check it against your own PC →

Lab
Google
Released
September 2, 2026
Weights
API-only (closed weights)
Parameters
–
Context
1M
Price / M tokens
$0.75 / $3.75 in / out
Epoch ECI
158.8 #23

Strengths by category

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

CategoryScoreBased on
Reasoning37.9Chess Puzzles, SimpleBench, Mystery Game Puzzles, Humanity's Last Exam
Math51.6ProofBench, OTIS Mock AIME 2024-2025, FrontierMath-Tiers-1-3-v2-Private, FrontierMath-Tier-4-v2-Private
Coding58.8MirrorCode, FrontierSWE, DeepSWE
Knowledge82.8GPQA diamond, SimpleQA Verified

Benchmark results

Benchmark (Epoch AI)Score
OTIS Mock AIME98.9%
GPQA Diamond97.8%
SimpleBench78.9%
DeepSWE73.8%
FrontierMath (Tiers 1–3)72.0%
SimpleQA Verified69.7%
Chess Puzzles55.8%
ProofBench48.0%
Humanity's Last Exam44.5%
Mystery Game Puzzles41.6%
MirrorCode38.9%
FrontierMath-Tier-4-v2-Private22.0%
FrontierSWE19.6%
Remote Labor Index5.8%
Furniture Assembly2.4%

Links

Announcement · Epoch AI benchmarks

Models with a similar score

GPT-5.5 Pro · Muse Wonder · Kimi K3.1 Pro · GPT-5.6 Terra · Claude Haiku 5.5 · GPT-5.4 Pro · GPT-5.5 · Claude Opus 4.8

More from Google

Gemini 4 Carbon · Gemini 4 Argon · Gemini 3.7 Flash · Gemini 3.6 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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