Gemini 3.8 Flash
Gemini 3.8 Flash is a Google model with 1.05M context, $0.75 in / $3.75 out per million tokens, last verified October 1, 2026. Open weights: no. Public-board scores are linked to the publisher; vendor-only figures stay in the watch-out, not on the board.
Gemini 3.8 Flash is Google's multimodal Flash model for long-horizon software engineering and agent workflows, with current introductory API pricing through December 31, 2026.
Recorded profile verification October 1, 2026Individual provider fields may change
| Specification | Gemini 3.8 Flash |
|---|---|
| Provider | |
| Tier | Balanced |
| Context window | 1.05M |
| Max output | 66K |
| Input / 1M tokens | $0.75 |
| Output / 1M tokens | $3.75 |
| Weights | Closed |
| Parameters | Not verifiedUnverified |
| Reasoning levels | low, medium, high |
| Modalities | text, image, video, audio, pdf |
| API model id | gemini-3.8-flash |
| Released | September 2, 2026 |
Pricing tiers: Intro Standard $0.75/$3.75 per MTok through December 31, 2026; $1.50/$7.50 from January 1, 2027. Output includes thinking tokens. Cached input $0.075, rising to $0.15; storage $0.50/MTok-hour, rising to $1. Batch/Flex input/output are $0.375/$1.875, rising to $0.75/$3.75. Priority $1.35/$6.75, rising to $2.70/$13.50. Grounding tools have separate charges and quotas; free-tier limits differ from paid.
Publisher evidence
Published benchmark results
Each result keeps its source date visible. Dates refer to source publication or capture unless the source explicitly states when it measured the result. A missing benchmark is not treated as a zero.
| Benchmark | Score | Source date | Source |
|---|---|---|---|
| Artificial Analysis Intelligence Index [high]Gemini 3.8 Flash (high) | 41 | 2026-10-01 | Artificial Analysis · View source |
| Terminal-Bench 2.1Vendor evaluation; Terminus-2 harness; exact run date not published | 89.4% | 2026-09-02 | Google primary evaluation table and methodology (vendor-reported) · View source |
| HLE-VerifiedFull 1,811-item verified/revised set; differs from original HLE and AA text-only HLE | 54.9% | 2026-09-02 | Google official blog and methodology (vendor; full 1,811-item HLE-Verified set) · View source |
Benchmark
DeepSWE 1.1 in context
The full local snapshot puts this model beside the wider field, including cost per completed task.
Local leader
GPT-6 Astra [xhigh]
74.1%
Rows shown
28
Best source-matched Pass@1 per model
Snapshot date
2026-10-01
Mirrored from deepswe.datacurve.ai
Better is toward the top-right (higher pass rate, lower cost). X-axis is reversed to match DeepSWE’s public chart. v1.1 uses average cost, output tokens and steps. Legacy v1 transcriptions are excluded here until an exact primary receipt is retained.
| # | Model | Pass@1 | Cost / task | Tokens / task | Steps / task |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra [xhigh] | 74.1% | $4.43 | 30k | 29 |
| 2 | Gemini 3.8 Flash [high] | 73.8% | $2.36 | 143k | 166 |
| 3 | Claude Opus 5 [max] | 73.6% | $11.84 | 118k | 99 |
| 4 | GPT-5.6 Sol [max] | 72.7% | $8.39 | 60k | 61 |
| 5 | Claude Fable 5 [xhigh] | 69.9% | $13.41 | 80k | 68 |
| 6 | GPT-5.6 Terra [max] | 69.6% | $4.95 | 72k | 76 |
| 7 | GLM 5.3 [max] | 69.0% | $3.99 | 80k | 124 |
| 8 | Kimi K3 [max] | 68.5% | $4.65 | 82k | 98 |
| 9 | Grok 4.6 [medium] | 67.5% | $3.45 | 50k | 70 |
| 10 | GPT-5.6 Luna [max] | 67.2% | $3.03 | 73k | 102 |
| 11 | GPT-5.5 [xhigh] | 67.0% | $7.23 | 46k | 82 |
| 12 | Gemini 3.7 Flash [medium] | 65.5% | $2.03 | 94k | 117 |
| 13 | GLM 5.3 Flash [max] | 63.4% | $0.48 | 73k | 123 |
| 14 | DeepSeek V4-Pro [max] | 62.8% | $0.24 | 106k | 155 |
| 15 | Claude Opus 4.8 [max] | 59.0% | $13.22 | 135k | 120 |
| 16 | Qwen3.8-Max [xhigh] | 57.5% | $3.73 | 95k | 111 |
| 17 | Muse Spark 1.2 [xhigh] | 54.9% | $3.70 | 99k | 101 |
| 18 | Claude Sonnet 5 [max] | 53.8% | $26.40 | 214k | 268 |
| 19 | Grok 4.5 [high] | 53.8% | $2.42 | 36k | 61 |
| 20 | DeepSeek V4-Flash [max] | 53.3% | $0.10 | 108k | 153 |
| 21 | Muse Spark 1.1 [xhigh] | 53.3% | $2.36 | 74k | 96 |
| 22 | GPT-5.4 [xhigh] | 51.8% | $5.65 | 71k | 70 |
| 23 | Gemini 3.6 Flash [high] | 46.7% | $4.42 | 96k | 117 |
| 24 | GLM 5.2 [max] | 43.8% | $3.92 | 78k | 129 |
| 25 | Gemini 3.5 Flash [high] | 36.1% | $3.45 | 76k | 105 |
| 26 | Kimi K2.7 Code | 30.5% | $2.82 | 59k | 149 |
| 27 | Claude Sonnet 4.6 [high] | 29.9% | $5.52 | 76k | 134 |
| 28 | Gemini 3.1 Pro [high] | 11.7% | $2.14 | 28k | 76 |
“Best per model” shows each model’s highest source-matched Pass@1 in this capture; switch to all effort levels to see every retained configuration. Efforts differ across models, so this view is not a comparison at matched effort. The source was generated September 22 and captured October 1. Small gaps may not be statistically meaningful — confirm on deepswe.datacurve.ai.
Best for
- Agentic coding at scale
- Mid-difficulty engineering
- Multimodal pipelines
Watch out
History
Gemini 3.8 Flash timeline
Release and status events for this model that passed two-source verification — dated, sourced, and linked.
- Gemini 3.8 Flash + Flash CyberReleaseSeptember 2, 2026
Google unveils Gemini 3.8 Flash workhorse with 89.4% on Terminal-Bench 2.1 (Google's table) and companion defensive cyber edition via the Fairwind Program.
Google DeepMind — Gemini 3.8 Flash announcement
Source receipts
Catalog figures for this model were checked against the following sources.
- Google primary profile — whole-record source check October 1 (accessed 2026-10-01)
- Gemini current API pricing and cache-storage tiers (accessed 2026-10-01)
- Google — Gemini 3.8 Flash and 3.8 Flash Cyber (accessed 2026-09-03)
- Gemini API pricing (gemini-3.8-flash $0.75/$3.75 intro) (accessed 2026-09-03)
- Datacurve DeepSWE 1.1 — 3.8 Flash high 73.8%, $2.36/task; Google separately self-reports 73.7% (accessed 2026-09-03)
Common questions
Gemini 3.8 Flash
Answered from the verified figures on this page rather than general guidance.