Gemini 3.7 Flash
Google · 3 thinking configurations
Intelligence39.1
Input / 1M$0.75
Output / 1M$3.75
Context1M
Tariff: Google · Source: artificial-analysis · USD per million tokens
Thinking configuration
What does more thinking buy you?
Compare this model’s measured thinking configurations.
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Efficient frontier: best measured score at each cost1 measured configurations · 2 without both values
Selected: thinking high · Click a point to switch configuration
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...
Intelligence IndexArtificial Analysis composite index, not a percentage. Different versions of the index are not directly comparable.
39.1 pointsDeepSWE · pass@1Software-engineering tasks on mini-swe-agent v1.1. Pass@1 across evaluated runs, with measured cost per task. The 95% intervals may overlap.
65.3 % ±1.8GPQA DiamondGraduate-level scientific questions. Measures specialist reasoning rather than web-search quality.
94.5 %Humanity’s Last ExamDifficult questions across many disciplines, compared under the same evaluation setup.
47.9 %SciCodeCode generation for scientific research problems.
57.2 %Terminal-Bench 2.1Agent tasks in a terminal environment. Results also depend on the evaluation harness.
85.8 %MMMU-ProMultimodal understanding of academic problems that include images.
85.5 %Omniscience accuracyFactual accuracy in Artificial Analysis's Omniscience evaluation.
55.3 %Specifications from the catalog
Inputtext, image, video, file, audio
Outputtext
Tool callingYes
Structured outputYes
Speed289.5 tok/s
First token14.99 s
Maximum output65.5K
Catalog listing date2026-08-13
DeepSWE v1.1 · 113 tasks · mini-swe-agent · cost $2.18 / task · 125 mean steps · 107.2K mean output tokens. Published by the source 9/22/2026.