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Gemini 3.8 Flash

Gemini 3.8 Flash
2 min read
Gemini 3.8 Flash

Gemini 3.8 Flash, which Google DeepMind shipped on September 2, 2026, is its most capable Flash model yet, built for long-horizon coding, autonomous agents and enterprise workflows.

  • Model: Gemini 3.8 Flash (gemini-3.8-flash)

  • Maker: Google DeepMind

  • Ship date: September 2, 2026

  • Pricing: $0.75 / $3.75 per M tokens (introductory through December 31, 2026; $1.50 / $7.50 after)

  • Context: 1M tokens

  • Where you can use it:

  • When to reach for it:

    • Long-horizon coding and terminal agents

    • Finance and legal analyst workflows

    • Skip it when token count must stay low

  • How it compares:

    • Far cheaper than Sonnet 5 or GPT-5.6 Terra

    • Grok 4.6 still scores higher overall

  • What makes it different:

    • Works harder: more steps and tool calls

    • Cyber twin limited to vetted defenders

  • Early reactions: The Register said it put Google back in the race as the cheapest model at its intelligence level, though it spends more tokens per task than 3.7 Flash.

  • Read more: Introducing Gemini 3.8 Flash and 3.8 Flash Cyber, Gemini 3.8 Flash model card

The benchmarks

Gemini 3.8 Flash at default API settings (medium thinking by default; high thinking on DeepSWE, run by Google in a mini-swe agent harness); Google showed Claude Opus 5, Claude Sonnet 5, GPT-5.6 Sol and GPT-5.6 Terra (Sonnet 5 and Terra at max reasoning), from self-reports, public leaderboards or Google's own runs (OSWorld-2.0, HLE-Verified), and its Opus 5 DeepSWE figure carries a correction note, so it's left out here.

Google DeepMind's numbers

  • DeepSWE v1.1 (long-horizon software engineering): 73.7%. +19.9 over Claude Sonnet 5 (53.8%), +1.0 over GPT-5.6 Sol (72.7%), +4.1 over GPT-5.6 Terra (69.6%), +8.4 over Gemini 3.7 Flash (65.3%).

  • Terminal-Bench 2.1 (agentic terminal coding): 89.4%. +0.3 over Claude Opus 5 (89.1%), +9.0 over Claude Sonnet 5 (80.4%), +0.6 over GPT-5.6 Sol (88.8%), +2.0 over GPT-5.6 Terra (87.4%).

  • Terminal-Bench 4.0 (general agent tasks): 19.1%. −32.7 under Claude Opus 5 (51.8%), +6.7 over Claude Sonnet 5 (12.4%), −18.2 under GPT-5.6 Sol (37.3%), −4.5 under GPT-5.6 Terra (23.6%).

  • GDPval-AA v2 (knowledge work Elo): 1545. −279 under Claude Opus 5 (1824), −39 under Claude Sonnet 5 (1584), −165 under GPT-5.6 Sol (1710), +17 over GPT-5.6 Terra (1528).

  • Vals Finance Agent v2 (financial analyst tasks): 61.4%. +2.8 over Claude Opus 5 (58.6%), +7.5 over Claude Sonnet 5 (53.9%), +7.6 over GPT-5.6 Sol (53.8%), +7.0 over GPT-5.6 Terra (54.4%).

  • Harvey's Legal Agent Benchmark (all-pass rate): 10.0%. +3.3 over Claude Opus 5 (6.7%), +5.0 over Claude Sonnet 5 (5.0%), +7.5 over GPT-5.6 Sol (2.5%), +9.2 over GPT-5.6 Terra (0.8%).

  • HLE-Verified (expert reasoning, cleaned set): 54.9%. +0.5 over Claude Opus 5 (54.4%), +23.9 over Claude Sonnet 5 (31.0%), +0.4 over GPT-5.6 Sol (54.5%), +3.8 over GPT-5.6 Terra (51.1%).

  • OSWorld-2.0 (computer use, partial score): 59.0%. −16.4 under Claude Opus 5 (75.4%), +16.4 over Claude Sonnet 5 (42.6%), −3.6 under GPT-5.6 Sol (62.6%), +8.8 over GPT-5.6 Terra (50.2%).

Independent numbers

  • Artificial Analysis Intelligence Index (current v4.3.2): 40.9. +2.7 over Claude Sonnet 5 (max) (38.2), −1.2 under GPT-5.6 Terra (max) (42.1), −3.4 under Grok 4.6 (high) (44.3).

  • ARC-AGI-2 (ARC Prize verified puzzles): 89.2%. +5.3 over GPT-5.6 Terra (max) (83.9%), +24.1 over Grok 4.6 (high) (65.1%).

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