Gemini 3.8 Flash
Google · Veröffentlicht Sept. 2026
Gemini 3.8 Flash is Google's strongest Flash workhorse yet — a genuine capability upgrade over the recommended 3.7 Flash at the same introductory price, with real gains across software engineering, agents and professional domains. The deciding caveat is Google's own: 3.8 "works harder," so per-task token burn runs well above 3.7, which remains the efficiency-first pick. Adopt 3.8 for long-horizon coding, agents and finance or legal work — benchmark your own workload before the intro price expires.
Ist es das Richtige für dich?
Gut für
- Long-horizon software engineering — DeepSWE v1.1 73.7% on Google's chart (74% ±1 on the independent leaderboard at high effort), up from 65.3% for 3.7 Flash
- Autonomous agents and computer use — Terminal-Bench 4.0 19.1% vs 11.2% for 3.7, OSWorld 2.0 59.0% vs 50.6%
- Knowledge-dense professional domains — HLE-Verified 54.9%; leads 3.7 and other frontier models on Vals Finance Agent V2 (61.4%) and Harvey's Legal Agent Benchmark
- Google-ecosystem builders — stable GA ID gemini-3.8-flash in Gemini API, AI Studio, Antigravity, Android Studio, Gemini Enterprise; powers Gemini app, AI Mode and Gemini in Sheets
Nicht geeignet für
- Token-metered, latency-sensitive production — "works harder" means extra reasoning steps and iterative tool calls; Artificial Analysis measured ~40% higher cost per task than 3.7 ($0.40 to $0.58)
- Hardest frontier tasks — still trails Claude Opus 5 on Terminal-Bench 4.0 (19.1% vs 51.8%), OSWorld 2.0 (59.0% vs 75.4%) and GDP.PDF (35% vs 40% for GPT-5.6 Sol)
- Non-English production without requalification — model card reports a 5.4-point multilingual safety regression vs 3.7 (lower is better); Google calls it mostly false positives
- Teams needing price stability beyond 2026 — the introductory rate expires Dec 31, 2026, then doubles to $1.50/$7.50
Leistung nach Aufgabe
Software engineering (DeepSWE v1.1)
73.7% Google-reported (74% ±1 independent at high effort) vs 65.3% for 3.7 Flash; outperforms most larger frontier models at a fraction of the cost
Terminal/CLI agent work (Terminal-Bench 2.1)
89.4% vs 85.8% for 3.7 (Enterprise guide surface reports 90.8%)
General agentic work (Terminal-Bench 4.0)
19.1% vs 11.2% for 3.7, but still far behind Claude Opus 5's 51.8%
Computer use (OSWorld 2.0)
59.0% vs 50.6% for 3.7; behind Opus 5's 75.4%
Finance and legal agents (Vals Finance Agent V2 / Harvey Legal)
61.4% and 10.0% all-pass respectively, both ahead of 3.7; Google says it leads other frontier models
Expert reasoning (HLE-Verified)
54.9% vs 53.6% for 3.7
Prompt-injection robustness (Gray Swan)
5.5% ASR@15, near Claude Opus 5's 4.8% and well ahead of 3.7 Flash's 9.2%
Preise
Eingabe
$0.75 / 1M
Ausgabe
$3.75 / 1M
Kontext
1M context, 64K output
Benchmarks
| Benchmark | Wert | Quelle |
|---|---|---|
| DeepSWE v1.1 | 73.7% | Quelle |
| DeepSWE v1.1 (independent leaderboard, high effort) | 74% ±1 | Quelle |
| Terminal-Bench 2.1 | 89.4% | Quelle |
| Terminal-Bench 4.0 | 19.1% | Quelle |
| OSWorld 2.0 (batch tool) | 59.0% | Quelle |
| HLE-Verified | 54.9% | Quelle |
| Vals Finance Agent v2 | 61.4% | Quelle |
| Gray Swan indirect prompt injection (ASR@15) | 5.5% | Quelle |
Noch keine Urteilsänderungen
Die Uhr läuft ab dem ersten Tag — Änderungen erscheinen hier, sobald sich unser Urteil weiterentwickelt.
Quellen
- ExplainX — Gemini 3.8 Flash is official: benchmarks, Flash Cyber, and pricingSept. 2026
- Google — Introducing Gemini 3.8 Flash and 3.8 Flash CyberSept. 2026
- Kingy AI — Gemini 3.8 Flash Cyber benchmarks explained (Gray Swan / shared-core figures)Sept. 2026
- Kingy AI — Gemini 3.8 Flash review: benchmarks, specs, pricing and verdictSept. 2026
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