gpt.college

Google · Gemini 3 · Reviewed 2026-09-04

Gemini 3.8 Flash

Google DeepMind's generally available Flash model for long-horizon software engineering, autonomous agents, and complex enterprise workflows.

All models
Overall · 0–10066.2
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
1.05M-token context and 64K outputConfigurable low, medium, and high thinkingStrong reported coding and agentic results
CodingReasoningResearchMultimodalAgentic

Independent benchmark scores

Independently evaluated

Reasoning

48%

Humanity's Last Exam as evaluated by Artificial Analysis; the source configuration is preserved.

Artificial Analysis · high

Independently evaluated

Research

1412 Elo

GDPval-AA v2.1 professional knowledge-work Elo. This is a task lens, not an assessment of every research skill.

Artificial Analysis · high

Independently evaluated

Multimodal

21%

GDP.pdf professional document understanding, including visual tables, charts and diagrams; not an audio/video score.

Artificial Analysis · high

Independently evaluated

Agentic

60%

AutomationBench-AA multi-step business workflows in the Artificial Analysis harness.

Artificial Analysis · high

Raw benchmark results

Source-backed rows with the original evaluation context preserved.

25 results
BenchmarkScoreSourceEvaluation 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

Model evidence · official · Checked 2026-09-04

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.

Model evidence · official · Checked 2026-09-04

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.

Task lenses preserve raw scores. Radar axes use score / current leader × 100; overall is the equal-weight average of all five indices. Missing evidence is not a zero or a low rank.