VENICE ATLAS · MODEL DOSSIER · GPT-5.6 TERRA

Model overview

GPT-5.6 Terra

Name: GPT-5.6 Terra
Brand: venice.ai
Price: 2.0000 USD
Availability: InStock

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic tasks where capability and cost need to be balanced.

openai-gpt-56-terra · venice.ai

Text · Venice catalog$2.00 per 1M tokensPrice on Venice AI

ModalityTextOn Venice AI

Primary price$2.00 per 1M tokensper 1M tokens

Context window1MMax tokens

Benchmarks45Benchmark results

Benchmark results

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

Agents#1435.76 rating Biology#1036.37 rating Chemistry#1336.37 rating Coding#1238.72 rating Vision#3927.80 rating General intelligence#1949.23 rating Healthcare#2228.80 rating Long Context#726.02 rating Multimodal#3528.11 rating Physics#1336.37 rating Reasoning#1947.77 rating Safety#423.69 rating Science#1110.82 rating Search#627.80 rating Spatial Reasoning#1923.97 rating Systems#317.34 rating Tool Calling#1926.86 rating

Agents17 results

Agents' Last Examagents-last-exam · agents

50.4%

ReportedOct 2026

AutomationBenchautomationbench · agents

15.2%

ReportedOct 2026

Big Finance Benchbig-finance-bench · agents

51.0%

ReportedOct 2026

Capture-the-Flag Challenges (Internal)capture-the-flag-challenges · agents

91.8%

ReportedOct 2026

Connectorsopenai-connectors · agents

100.0%

ReportedOct 2026

ExploitGymexploitgym · agents

23.2%

ReportedOct 2026

GeneBench-Progenebench-pro · agents

23.3%

ReportedOct 2026

Internal Research Debugging Evaluationinternal-research-debugging-evaluation · agents

67.8%

ReportedOct 2026

KernelGen 1Pkernelgen-1p · agents

49.2%

ReportedOct 2026

LifeSciBenchlifescibench · agents

56.0%

ReportedOct 2026

Management Consulting Tasks (Internal)management-consulting-tasks · agents

37.2%

ReportedOct 2026

NanoGPTnanogpt · agents

14.5%

ReportedOct 2026

PostTrainBench Liteposttrainbench-lite · agents

51.5%

ReportedOct 2026

RSI Indexrsi-index · agents

56.3%

ReportedOct 2026

Search and Function-Callingopenai-search-function-calling · agents

94.6%

ReportedOct 2026

SEC-bench Prosec-bench-pro · agents

57.7%

ReportedOct 2026

Toolathlontoolathlon · agents

53.1%

ReportedOct 2026

Coding5 results

BenchCADbenchcad · code

62.3%

ReportedOct 2026

BenchCAD (with Python tool)benchcad-with-python-tool · code

78.2%

ReportedOct 2026

DeepSWEdeepswe · code

69.6%

ReportedOct 2026

DeepSWE 1.1deepswe-1.1 · code

70.0%

ReportedOct 2026

ExploitBenchexploitbench · code

52.9%

ReportedOct 2026

General intelligence2 results

Artificial Analysisartificial-analysis · general

55.0%

ReportedOct 2026

GDP.pdfgdp-pdf · general

24.7%

ReportedOct 2026

Healthcare4 results

HealthBenchhealthbench · healthcare

57.0%

ReportedOct 2026

HealthBench Consensushealthbench-consensus · healthcare

95.1%

ReportedOct 2026

HealthBench Hardhealthbench-hard · healthcare

32.7%

ReportedOct 2026

HealthBench Professionalhealthbench-professional · healthcare

57.7%

ReportedOct 2026

Long Context2 results

MRCR v2 (8-needle, 512K-1M)mrcr-v2-8-needle-512k-1m · long_context

72.5%

ReportedOct 2026

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

89.6%

ReportedOct 2026

Learn what each benchmark measures ↗

Pricing detail

Input price per 1M tokens: $2.00
Output price per 1M tokens: $12.00
Cache read price per 1M tokens: $0.20
Cache write price per 1M tokens: $2.50
Blended price per 1M tokens (50/50): $7.00

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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