- Status
- active
- Released
- 2026-09-02
- Context
- 1,050,000 tokens
- Parameters
- Undisclosed
- Inputs
- Text · Image · Audio · Video · File
- Type
- multimodal
- Max output
- 64,000 tokens
- API model ID
- gemini-3.8-flash
- Reasoning
- low / medium / high
- Knowledge cutoff
- 2026-03
- Training cutoff
- —
- Weights / license
- Unavailable
- Price / 1M tokens
- $0.75 in · $3.75 out
- Cached input
- $0.075
Gemini 3.8 Flash
Google DeepMind's generally available Flash model for long-horizon software engineering, autonomous agents, and complex enterprise workflows.
Independent benchmark scores
Coding
20%Terminal-Bench 4.0 in the Artificial Analysis evaluation harness.
Reasoning
48%Humanity's Last Exam as evaluated by Artificial Analysis; the source configuration is preserved.
Research
1412 EloGDPval-AA v2.1 professional knowledge-work Elo. This is a task lens, not an assessment of every research skill.
Multimodal
21%GDP.pdf professional document understanding, including visual tables, charts and diagrams; not an audio/video score.
Agentic
60%AutomationBench-AA multi-step business workflows in the Artificial Analysis harness.
Raw benchmark results
Source-backed rows with the original evaluation context preserved.
| Benchmark | Score | Source | Evaluation notes |
|---|---|---|---|
| AutomationBench-AAChecked 2026-10-02 | 60% | Artificial Analysis | Artificial Analysis Intelligence Index v4.3.2; configuration=high. Rounded public score; checked date is not the evaluation execution date. |
| AA GDP.pdfChecked 2026-10-02 | 21% | Artificial Analysis | Artificial Analysis Intelligence Index v4.3.2; configuration=high. Rounded public score; checked date is not the evaluation execution date. |
| GDPval-AA v2.1Checked 2026-10-02 | 1412 | Artificial Analysis | Artificial Analysis Intelligence Index v4.3.2; configuration=high. Rounded public score; checked date is not the evaluation execution date. |
| AA Humanity's Last ExamChecked 2026-10-02 | 48% | Artificial Analysis | Artificial Analysis Intelligence Index v4.3.2; configuration=high. Rounded public score; checked date is not the evaluation execution date. |
| Artificial Analysis Intelligence Index v4.3.2Checked 2026-10-02 | 41 | Artificial Analysis | Artificial Analysis Intelligence Index v4.3.2; configuration=high. Rounded public score; checked date is not the evaluation execution date. |
| AA Terminal-Bench 4.0Checked 2026-10-02 | 20% | Artificial Analysis | Artificial Analysis Intelligence Index v4.3.2; configuration=high. Rounded public score; checked date is not the evaluation execution date. |
| Artificial Analysis Intelligence IndexEvaluated 2026-09-03 | 59 | Artificial Analysis | Artificial Analysis Intelligence Index v4.1.1; Gemini 3.8 Flash high reasoning configuration. |
| Artificial Analysis Intelligence IndexEvaluated 2026-09-03 | 57 | Artificial Analysis | Artificial Analysis Intelligence Index v4.1.1; Gemini 3.8 Flash medium reasoning configuration. |
| Artificial Analysis Intelligence IndexEvaluated 2026-09-03 | 52 | Artificial Analysis | Artificial Analysis Intelligence Index v4.1.1; Gemini 3.8 Flash low reasoning configuration. |
| BioMysteryBench, human-difficultEvaluated 2026-09-02 | 56.5% | Google DeepMind | Google-reported BioMysteryBench result; task set=human-difficult. |
| BioMysteryBench, human-solvableEvaluated 2026-09-02 | 88.8% | Google DeepMind | Google-reported BioMysteryBench result; task set=human-solvable. |
| CharXiv RQEvaluated 2026-09-02 | 86.2% | Google DeepMind | Google-reported CharXiv RQ result; evaluation settings are source-specific. |
| DeepSWE v1.1Evaluated 2026-09-02 | 73.7% | Google DeepMind | Google-reported DeepSWE v1.1 result; highest listed thinking level=high; preserve the mini-SWE-agent harness context. |
| Vals Finance Agent v2Evaluated 2026-09-02 | 61.4% | Google DeepMind | Google-reported Vals Finance Agent v2 result; tools enabled. |
| GDP.pdfEvaluated 2026-09-02 | 35% | Google DeepMind | Google-reported GDP.pdf result. |
| GDPval-AA v2Evaluated 2026-09-02 | 1545 | Google DeepMind | Google comparison-table GDPval-AA v2 score; score unit is Elo. |
| GPQA / GPQA DiamondEvaluated 2026-09-02 | 95.3% | Google DeepMind | Google comparison-table GPQA Diamond result. |
| Harvey Legal Agent BenchmarkEvaluated 2026-09-02 | 10% | Google DeepMind | Google-reported Harvey Legal Agent Benchmark result; score is complete-task resolution, not per-criterion accuracy. |
| HLE-VerifiedEvaluated 2026-09-02 | 54.9% | Google DeepMind | Google-reported HLE-Verified result on the verified set. |
| LABBench2Evaluated 2026-09-02 | 86.2% | Google DeepMind | Google-reported LABBench2 result. |
| LVBenchEvaluated 2026-09-02 | 87.8% | Google DeepMind | Google-reported LVBench result with tools; context and video sampling settings are source-specific. |
| OSWorld 2.0Evaluated 2026-09-02 | 59% | Google DeepMind | Google-reported OSWorld 2.0 result; task release and computer-use harness are source-specific. |
| SWE-bench ProEvaluated 2026-09-02 | 61.6% | Google DeepMind | Google comparison-table result; benchmark and harness details remain source-specific. |
| Terminal-Bench 2.1Evaluated 2026-09-02 | 89.4% | Google DeepMind | Google-reported Terminal-Bench 2.1 result; preserve the Terminus 2 harness context. |
| Terminal-Bench 4.0Evaluated 2026-09-02 | 19.1% | Google DeepMind | Google-reported Terminal-Bench 4.0 result; do not compare directly with Terminal-Bench 2.1. |
Strengths
- 1.05M-token context and 64K output
- Configurable low, medium, and high thinking
- Strong reported coding and agentic results
Limitations
- Parameter count and weights are not publicly disclosed
- Vendor and third-party benchmark harnesses are not interchangeable
Gemini 3.8 Flash model card
Official model card for Gemini 3.8 Flash model lineage, 1M-token context, 64K output limit, March 2026 knowledge cutoff, safety notes, and links to the evaluation methodology.
Gemini 3.8 Flash API model documentation
Official API documentation for the gemini-3.8-flash model ID, GA status, reasoning levels, limits, and introductory pricing.
Artificial Analysis Intelligence Index v4.3.2
Underlying raw metrics and exact model configurations remain authoritative.
Artificial Analysis methodology
Underlying raw metrics and exact model configurations remain authoritative.