GPT-6 Luna

Name: GPT-6 Luna
Brand: venice.ai
Price: 0.1000 USD
Availability: InStock

GPT-6 Luna is OpenAI's most efficient GPT-6 model for focused, high-volume tasks. It is suited for chat, classification, and lightweight agentic workflows, with a 1.05M token context window (922K input, 128K output), text and image inputs, and capable reasoning for its price tier.

openai-gpt-6-luna · venice.ai

Text · Venice catalog$0.10 per 1M tokensPrice on Venice AI

ModalityTextOn Venice AI

Primary price$0.10 per 1M tokensper 1M tokens

Context window1.1MMax tokens

Benchmarks5Benchmark results

Benchmark results

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

Agents#3629.94 rating

Agents2 results

Agents' Last Examagents-last-exam · agents

50.9%

ReportedOct 2026

AutomationBench v1.0.6automationbench-1.0.6 · agents

20.7%

ReportedOct 2026

Coding1 result

DeepSWE 1.1deepswe-1.1 · code

66.6%

ReportedOct 2026

Multimodal1 result

OSWorld 2.0osworld-2.0 · multimodal

52.7%

ReportedOct 2026

Reasoning1 result

FrontierCode 1.1frontiercode-1.1 · reasoning

42.4%

ReportedOct 2026

Learn what each benchmark measures ↗

Pricing detail

Input price per 1M tokens: $0.10
Output price per 1M tokens: $0.50
Cache read price per 1M tokens: $0.0100
Cache write price per 1M tokens: $0.13
Blended price per 1M tokens (50/50): $0.30

Prices are published by Venice AI. Venice model page ↗

Capabilities

ReasoningFunction callingVisionWeb search

Endpoint metadata

Privacy: anonymized
Quantization: not-available
Maximum completion tokens: 128K
Uncensored: No
Beta: No
Mapping confidence: 100.0%

View model source ↗

All capabilities

Max Images: 10
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: No
Supports Video Input: No
Default Reasoning Effort: high
Reasoning Effort Options: none, low, medium, high, xhigh, max
Supports Multiple Images: Yes
Supports Response Schema: Yes
Supports Tee Attestation: No
Supports Function Calling: Yes
Supports Reasoning Effort: Yes

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