Gemini 3.8 Flash.

specs at a glance

how good is Gemini 3.8 Flash at coding?

Gemini 3.8 Flash sits at #25 of 29 ranked models, posting 80.0% on SWE-bench Verified — 17 points behind #1 Claude Opus 5. Terminal-Bench (agentic terminal work): 90.8%.

Score provenance: Independent (vals.ai, observed 2026-09-03, mini-swe-agent bash-only harness): SWE-bench Verified 80.00% ±1.79. Leaves the verifying queue it entered on 2026-09-02, when a model card briefly leaked at deepmind.google/models/model-cards/gemini-3-8-flash/ before being pulled, and the Wall Street Journal reported Google was preparing to ship it under the internal codename "Skimaki." Google officially launched the model Sept 2, 2026 at $0.75/$3.75 per 1M tokens through Dec 31, 2026 (reverting to $1.50/$7.50 on Jan 1, 2027, matching the 3.7 Flash pricing pattern). Google's own claimed Terminal-Bench 2.1 score is 90.8%, run on Google's own scaffolding and not independently reproduced here. Ranks 25th on the independent SWE-bench Verified figure, essentially tied with Kimi K2.6 (80.2%) just above and Gemini 3.6 Flash (79.6%) just below, both within the combined margin of error, so read this as a three-way statistical tie rather than a clean ordering. Google has published no SWE-bench Verified number of its own for direct comparison.

what does Gemini 3.8 Flash cost?

$0.75 per 1M input tokens and $3.75 per 1M output — #8 cheapest of the 27 models we track. Coding workloads are output-heavy, so weight the output rate when budgeting. Run your own volume through the AI API cost calculator for a monthly estimate.

where can you use it?

Available via API (gemini-3.8-flash) · AI Studio · Gemini Enterprise Agent Platform. As a proprietary model, you're on the maker's infrastructure and release schedule.

Full storyGemini 3.8 Flash Model Card Leaks Ahead of Google Launch

Ranked on our AI Coding Leaderboard — scores confirmed against primary sources only, updated 2026-09-03.