VENICE ATLAS · MODEL DOSSIER · GEMINI 3.5 FLASH

Model overview

Gemini 3.5 Flash

Name: Gemini 3.5 Flash
Brand: venice.ai
Price: 1.5500 USD
Availability: InStock

Gemini 3.5 Flash is a high speed, high value thinking model with 1M context, designed for agentic workflows, multi-turn chat, and coding assistance. It delivers near Pro level reasoning with substantially lower latency.

gemini-3-5-flash · venice.ai

Text · Venice catalog$1.55 per 1M tokensPrice on Venice AI

ModalityTextOn Venice AI

Primary price$1.55 per 1M tokensper 1M tokens

Context window1MMax tokens

Benchmarks16Benchmark results

Benchmark results

See the tests behind each score. They use the benchmark’s original scoring scale.

Vision#2531.52 rating Finance#1130.22 rating Multimodal#1932.52 rating Spatial Reasoning#2122.54 rating Tool Calling#1029.37 rating

Agents4 results

Blueprint-Bench 2blueprint-bench-2 · agents

33.6%

ReportedOct 2026

Finance Agentfinance-agent · agents

57.9%

ReportedOct 2026

Finance Agent v2finance-agent-v2 · agents

57.9%

ReportedOct 2026

Toolathlontoolathlon · agents

56.5%

ReportedOct 2026

Coding1 result

DeepSWE 1.1deepswe-1.1 · code

37.0%

ReportedOct 2026

Legal1 result

Legal Agent Benchmarklegal-agent-benchmark · legal

0.80%

ReportedOct 2026

Long Context1 result

MRCR v2 (8-needle)mrcr-v2-(8-needle) · long_context

26.6%

ReportedOct 2026

Math1 result

LiveBenchlivebench · math

75.0%

ReportedOct 2026

Multimodal1 result

OSWorld-Verifiedosworld-verified · multimodal

78.4%

ReportedOct 2026

Reasoning6 results

ARC-AGI v2arc-agi-v2 · reasoning

72.1%

ReportedOct 2026

CharXiv-Rcharxiv-r · reasoning

84.2%

ReportedOct 2026

Humanity's Last Examhumanity's-last-exam · reasoning

40.2%

ReportedOct 2026

MCP Atlasmcp-atlas · reasoning

83.6%

ReportedOct 2026

SWE-Bench Proswe-bench-pro · reasoning

55.1%

ReportedOct 2026

Terminal-Bench 2.0terminal-bench-2 · reasoning

76.2%

ReportedOct 2026

Vision1 result

MMMU-Prommmu-pro · vision

83.6%

ReportedOct 2026

Learn what each benchmark measures ↗

Pricing detail

Input price per 1M tokens: $1.55
Output price per 1M tokens: $9.45
Cache read price per 1M tokens: $0.15
Cache write price per 1M tokens: $0.0860
Blended price per 1M tokens (50/50): $5.50

Prices are published by Venice AI. Venice model page ↗

Capabilities

ReasoningFunction callingVisionAudio inputVideo inputWeb search

Endpoint metadata

Privacy: anonymized
Quantization: not-available
Maximum completion tokens: 66K
Uncensored: No
Beta: No
Mapping confidence: 100.0%

View model source ↗

All capabilities

Max Images: 20
Quantization: not-available
Supports E2 E E: No
Supports Vision: Yes
Supports X Search: No
Optimized For Code: No
Supports Log Probs: No
Supports Reasoning: Yes
Supports Web Search: Yes
Supports Audio Input: Yes
Supports Video Input: Yes
Default Reasoning Effort: high
Reasoning Effort Options: low, medium, high
Supports Multiple Images: Yes
Supports Response Schema: Yes
Supports Tee Attestation: No
Supports Function Calling: Yes
Supports Reasoning Effort: Yes

Related models

More from google

gemini-3-8-flashGemini 3.8 Flash$0.94 input per 1M tokens ↗gemini-4-argonGemini 4 Argon$2.50 input per 1M tokens ↗google-gemma-3-27b-itGoogle Gemma 3 27B Instruct$0.12 input per 1M tokens ↗