Inference availability
Providers Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.
Report a price
Providers offering GPT-6 Astra
Provider Provider model ID Context Max output Input Output Cache read Capabilities Docs
O OpenAI gpt-6-astra1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
E Eden AI openai/gpt-6-astra1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
V Vercel AI Gateway openai/gpt-6-astra1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
O Ofox openai/gpt-6-astra1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
A Azure gpt-6-astra1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
N Neon gpt-6-astra1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
3 302.AI gpt-6-astra1.05M
128K
$10
$50
— Reasoning Tools JSON Docs ↗
G GitHub Copilot gpt-6-astra1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
R Requesty gpt-6-astra1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
N NanoGPT openai/gpt-6-astra1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
V Vivgrid gpt-6-astra1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
O OpenRouter openai/gpt-6-astra1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
L LLM Gateway openai/gpt-6-astra1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
C CrossModel openai/gpt-6-astra1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
E Eden AI openai/gpt-latest1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
K Kilo Gateway openai/gpt-6-astra1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
M Merge Gateway openai/gpt-6-astra1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
O OpenCode Zen gpt-6-astra1.05M
128K
$10
$50
$1
Reasoning Tools JSON Docs ↗
A Amazon Bedrock openai.gpt-6-astra1.05M
128K
$11
$55
$1.1
Reasoning Tools JSON Docs ↗
Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.
Listed rates
Price across providers Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.
Lowest input
$10/M
Across 19 priced providers
Median input
$10/M
Midpoint of listed rates
Highest input
$11/M
1.1× the lowest listed rate
Output range
$50 – $55
Per million output tokens
OpenAI
$10/M
Eden AI
$10/M
Vercel AI Gateway
$10/M
Ofox
$10/M
Azure
$10/M
Neon
$10/M
302.AI
$10/M
GitHub Copilot
$10/M
Requesty
$10/M
NanoGPT
$10/M
Vivgrid
$10/M
OpenRouter
$10/M
LLM Gateway
$10/M
CrossModel
$10/M
Eden AI
$10/M
Kilo Gateway
$10/M
Merge Gateway
$10/M
OpenCode Zen
$10/M
Amazon Bedrock
$11/M
18 providers list the identical $10 input rate, so price alone will not separate them — compare context limits, max output, and capabilities above.
Specification
Capabilities Recorded from the source catalog and provider listings.
✓
Reasoning
Yes
✓
Tool calling
Yes
✓
Structured output
Yes
✓
Attachments
Yes
✓
Vision input
Yes
×
Open weights
No
Model family gpt-astra
Knowledge cutoff 2026-04-30
License Not documented
Release date 2026-09-04
Model ID openai/gpt-6-astra
Published evaluations
Benchmarks Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.
Benchmark registry
Benchmark profile
Coding IndexCoding Index
Agentic IndexAgentic Index
IntelligenceIntelligence Index
Humanity's Last…Humanity's Last Exam
GPQA DiamondGPQA Diamond
BrowseCompBrowseComp
DeepSWEDeepSWE 1.1
AutomationBenchAutomationBench
This model — Coding Index: 76.9 index (96.6th percentile)
This model — Agentic Index: 51.5 index (95.8th percentile)
This model — Intelligence Index: 52.8 index (95.8th percentile)
This model — Humanity's Last Exam: 57.2 accuracy (70.0th percentile)
This model — GPQA Diamond: 96 accuracy (97.2th percentile)
This model — BrowseComp: 91.5 accuracy (96.7th percentile)
This model — DeepSWE 1.1: 74.1 resolve rate (93.8th percentile)
This model — AutomationBench: 41.4 success rate (90.0th percentile)
Each axis is this model's percentile among the 8 benchmarks it has published results for, measured against every other model with a score on that same benchmark. Percentiles are used because benchmarks do not share a scale — a 60 on one is not a 60 on another. Hover any point for the raw score.
Coding Index
#7 of 204
2.7
median 48.8
81.6
Agentic Index
#8 of 192
0.1
median 19.7
58.0
Intelligence Index
#8 of 191
3.8
median 25.8
55.0
Humanity's Last Exam
#6 of 20
24.3
median 52.2
64.7
GPQA Diamond
#1 of 18
82.8
median 92.5
96.0
BrowseComp
#1 of 15
44.4
median 84.7
91.5
DeepSWE
#1 of 8
49.0
median 68.0
74.1
AutomationBench
#1 of 5
17.4
median 26.0
41.4
Agents' Last Exam
#1 of 4
50.3
median 51.5
59.3
FrontierMath
#1 of 4
78.6
median 87.0
97.6
99.9
1 model scored — too few for a distribution
67.0
1 model scored — too few for a distribution
61.0
1 model scored — too few for a distribution
95.9
1 model scored — too few for a distribution
100.0
1 model scored — too few for a distribution
64.5
1 model scored — too few for a distribution
72.6
1 model scored — too few for a distribution
88.0
1 model scored — too few for a distribution
92.7
1 model scored — too few for a distribution
57.9
1 model scored — too few for a distribution
64.6
1 model scored — too few for a distribution
Each strip shows every published score for that benchmark, with this model marked. The lighter shape behind the ticks is the density of results, and the dashed line is the median.
Cost against capability
Price and performance Listed input price plotted against Coding Index, the benchmark with the widest published coverage that this model appears in.
0
43
86
$0.01
$0.1
$1
$10
Anthropic: Claude Fable 5.1 (batch) — $5/M, score 81.6
Claude Opus 5 — $5/M, score 78.0
Mistral: Ministral 3 8B 2512 (batch) — $0.075/M, score 9.7
GPT-3.5-turbo — $0.5/M, score 10.7
Anthropic: Claude Opus 4.7 — $5/M, score 73.6
OpenAI: GPT-5.4 Nano (batch) — $0.1/M, score 56.1
Inception: Mercury 2 — $0.25/M, score 31.1
Gemini 3.1 Flash Lite Preview — $0.25/M, score 34.7
Gemini 3.5 Flash Lite — $0.3/M, score 49.3
Gemma 3 12B IT — $0.05/M, score 5.8
Mistral: Mistral Large 3 2512 (batch) — $0.25/M, score 20.1
OpenAI: GPT-3.5 Turbo (batch) — $0.25/M, score 10.7
Anthropic: Claude Sonnet 4.5 — $3/M, score 52.1
OpenAI: o3 Mini High (batch) — $0.55/M, score 16.3
Qwen: Qwen3.8 Max (0902) — $2/M, score 71.8
Gemini 3.5 Flash — $1.5/M, score 70.1
Z.ai: GLM 5.3 Flash (batch) — $0.075/M, score 71.5
DeepSeek V4 Flash — $0.15/M, score 52.0
DeepSeek-R1 — $0.7/M, score 24.6
DeepSeek V4 Pro — $0.435/M, score 59.4
GPT-4 Turbo — $10/M, score 21.5
GPT-5.6 Luna — $0.2/M, score 71.4
GPT-4.1 mini — $0.4/M, score 20.2
GPT OSS 120B — $0.03/M, score 30.4
GPT-5 — $1.25/M, score 37.8
Claude Sonnet 5 — $2/M, score 71.5
Mistral: Ministral 3 8B 2512 — $0.15/M, score 9.7
Z.ai: GLM 5.3 (batch) — $0.7/M, score 74.8
OpenAI: o1 (batch) — $7.5/M, score 39.7
Z.ai: GLM 5.1 — $0.966/M, score 55.8
Gemini 3.7 Flash — $0.75/M, score 76.1
Z.ai: GLM 5.3 — $1.4/M, score 74.8
Google: Gemini 3.1 Pro Preview (batch) — $1/M, score 68.8
LongCat-2.0 — $0.3/M, score 45.3
Google: Gemini 2.5 Pro (batch) — $0.625/M, score 33.3
OpenAI: GPT-5.5 (batch) — $2.5/M, score 74.9
GPT-6 Astra — $10/M, score 76.9
Gemini 3.6 Flash — $0.75/M, score 69.2
Qwen: Qwen3.5-9B (batch) — $0.17/M, score 28.7
GPT-5.4 mini — $0.75/M, score 56.1
Gemma 4 26B A4B IT — $0.042/M, score 39.3
Claude Fable 5 — $10/M, score 76.5
Mistral: Mistral Small 4 (batch) — $0.075/M, score 26.6
Z.ai: GLM 5.3 Flash — $0.15/M, score 71.5
MiniMax: MiniMax M3 — $0.3/M, score 58.6
DeepSeek: DeepSeek V4 Pro 0813 (batch) — $0.66/M, score 68.8
Thinking Machines: Inkling Small (batch) — $0.5/M, score 52.9
Anthropic: Claude Fable 5.1 — $10/M, score 81.6
Google: Gemma 4 31B (batch) — $0.39/M, score 43.4
Qwen: Qwen3.8 2.4T A95B (batch) — $2/M, score 71.9
Mistral: Devstral 2 2512 — $0.4/M, score 31.3
MoonshotAI: Kimi K2.7 Code (batch) — $0.95/M, score 60.8
Inkling — $1.87/M, score 52.1
OpenAI: gpt-oss-20b (batch) — $0.05/M, score 20.7
Muse Spark 1.1 — $1.25/M, score 71.3
MiMo-V2.5 — $0.14/M, score 56.8
Google: Gemini 3.5 Flash Lite (batch) — $0.15/M, score 49.3
Kimi K2 Thinking — $0.4/M, score 21.0
Mistral: Mistral Medium 3.5 (batch) — $0.75/M, score 46.9
Qwen: Qwen3.8 Max (0803) — $2/M, score 68.9
Mistral: Mistral Medium 3.1 (batch) — $0.2/M, score 20.5
MiMo-V2.5-Pro — $0.435/M, score 60.2
GPT-5.1 — $1.25/M, score 49.4
Qwen: Qwen3.8 27B — $0.42/M, score 68.1
Gemma 4 31B IT — $0.09/M, score 43.4
Google: Gemini 3.8 Flash (batch) — $0.375/M, score 76.3
OpenAI: GPT-5 Mini (batch) — $0.125/M, score 15.6
Gemini 2.5 Pro — $1.25/M, score 33.3
GPT-5.5 — $5/M, score 74.9
MoonshotAI: Kimi K3 (batch) — $3/M, score 76.2
Inkling Small — $0.45/M, score 52.9
Anthropic: Claude Sonnet 5 (batch) — $1/M, score 71.5
DeepSeek V3.2 — $0.18/M, score 44.2
Anthropic: Claude Fable 5 (batch) — $5/M, score 76.5
Nemotron 3 Super 120B A12B — $0.2/M, score 37.7
IBM: Granite 4.2 8B — $0.06/M, score 22.4
Anthropic: Claude Opus 4.8 — $5/M, score 74.3
Thinking Machines: Inkling (batch) — $1/M, score 52.1
Gemma 3 4B IT — $0.04/M, score 2.7
SpaceXAI: Grok 4.6 — $2/M, score 76.8
DeepSeek: DeepSeek V3.1 Terminus — $0.27/M, score 43.5
GPT-5 Mini — $0.25/M, score 15.6
Claude Opus 5 (batch) — $2.5/M, score 78.0
Anthropic: Claude Opus 4.8 (batch) — $2.5/M, score 74.3
SpaceXAI: Grok 4.3 — $1.25/M, score 42.2
OpenAI: GPT-6 Astra (batch) — $5/M, score 76.9
Google: Gemini 3.5 Flash (batch) — $0.75/M, score 70.1
OpenAI: GPT-5.6 Terra (batch) — $1/M, score 76.7
OpenAI: GPT-5.4 (batch) — $1.25/M, score 71.1
Mistral: Mistral Large 3 2512 — $0.5/M, score 20.1
OpenAI: GPT-4o-mini (batch) — $0.075/M, score 11.4
DeepSeek V4 Pro 0813 — $0.442/M, score 68.8
Z.ai: GLM 5.2 (batch) — $0.7/M, score 68.8
Google: Gemini 3.6 Flash (batch) — $0.375/M, score 69.2
Nemotron 3 Nano 30B A3B — $0.05/M, score 14.4
GPT-5.6 Terra — $2/M, score 76.7
MiniMax: MiniMax M3 (batch) — $0.3/M, score 58.6
Gemini 3.8 Flash — $0.75/M, score 76.3
NVIDIA: Nemotron 3 Ultra (batch) — $0.6/M, score 49.3
MiniMax: MiniMax M2.7 — $0.3/M, score 52.6
SpaceXAI: Grok 4.5 — $2/M, score 72.4
Mistral: Mistral Medium 3.1 — $0.4/M, score 20.5
OpenAI: gpt-oss-120b (batch) — $0.15/M, score 30.4
OpenAI: GPT-4.1 Mini (batch) — $0.2/M, score 20.2
Gemma 3 27B IT — $0.08/M, score 10.1
GPT-4 — $30/M, score 13.1
Solar Pro 4 — $0.3/M, score 52.7
Gemini 3.1 Pro Preview — $2/M, score 68.8
Anthropic: Claude Opus 4.7 (batch) — $2.5/M, score 73.6
GPT-5.6 Sol — $4/M, score 77.4
OpenAI: GPT-4.1 Nano (batch) — $0.05/M, score 11.1
OpenAI: GPT-5.1 (batch) — $0.625/M, score 49.4
Kimi K2.7 Code — $0.95/M, score 60.8
Kimi K3 — $3/M, score 76.2
GPT-5.4 — $2.5/M, score 71.1
Anthropic: Claude Sonnet 4.6 — $3/M, score 63.0
Anthropic: Claude Sonnet 4.6 (batch) — $1.5/M, score 63.0
Google: Gemini 3.7 Flash (batch) — $0.375/M, score 76.1
Muse Spark 1.2 — $1.25/M, score 72.2
DeepSeek: DeepSeek V4 Flash 0731 (batch) — $0.11/M, score 69.1
inclusionAI: Ling 3.0 Flash — $0.021/M, score 50.6
Qwen: Qwen3.7 Plus — $0.32/M, score 55.9
SpaceXAI: Grok 4.3 (batch) — $1/M, score 42.2
Kimi K2.6 — $0.95/M, score 61.8
Nemotron 3 Ultra 550B A55B — $0.5/M, score 49.3
Anthropic: Claude Sonnet 4 — $3/M, score 37.6
OpenAI: GPT-5.6 Luna (batch) — $0.1/M, score 71.4
OpenAI: GPT-5.4 Mini (batch) — $0.375/M, score 56.1
GPT-5.4 nano — $0.2/M, score 56.1
Qwen: Qwen3.8 2.4T A95B — $2/M, score 71.9
OpenAI: GPT-5.6 Sol (batch) — $1/M, score 77.4
Qwen: Qwen3.6 Plus — $0.325/M, score 54.5
Anthropic: Claude Haiku 4.5 (batch) — $0.5/M, score 43.9
Z.ai: GLM 4.6 — $0.43/M, score 45.8
Anthropic: Claude Sonnet 4.5 (batch) — $1.5/M, score 52.1
GPT-4o (2024-05-13) — $5/M, score 24.2
OpenAI: GPT-5 (batch) — $0.625/M, score 37.8
Qwen: Qwen3 Next 80B A3B Thinking — $0.15/M, score 17.4
DeepSeek V4 Flash 0731 — $0.05/M, score 69.1
OpenAI: GPT-4 Turbo (batch) — $5/M, score 21.5
Nemotron 3.5 Lightning 30B A3B — $0.05/M, score 26.8
Hy3 preview — $0.066/M, score 58.8
GPT-4.1 nano — $0.1/M, score 11.1
GPT OSS 20B — $0.02/M, score 20.7
GPT-4o mini — $0.15/M, score 11.4
o1 — $15/M, score 39.7
Kimi K2.5 — $0.3/M, score 46.8
Trinity Large Thinking — $0.25/M, score 25.8
Qwen: Qwen3 30B A3B Thinking 2507 — $0.2/M, score 12.1
Z.ai: GLM 5.2 — $0.966/M, score 68.8
Qwen: Qwen3.7 Max — $1.475/M, score 66.0
SpaceXAI: Grok Build 0.1 — $1/M, score 51.5
Qwen: Qwen3.6 35B A3B — $0.1/M, score 41.9
Qwen: Qwen3.6 27B — $0.3/M, score 53.7
inclusionAI: Ling-2.6-flash — $0.01/M, score 25.3
Mistral: Mistral Small 4 — $0.15/M, score 26.6
Kwaipilot: KAT-Coder-Pro V2 — $0.3/M, score 59.5
Qwen: Qwen3.5-9B — $0.1/M, score 28.7
Qwen: Qwen3.5-35B-A3B — $0.312/M, score 37.0
Qwen: Qwen3.5-122B-A10B — $0.26/M, score 45.7
Upstage: Solar Pro 3 — $0.15/M, score 16.2
Z.ai: GLM 4.7 — $0.4/M, score 45.3
Amazon: Nova 2 Lite — $0.3/M, score 23.0
Mistral: Ministral 3 3B 2512 — $0.1/M, score 4.8
Google: Gemma 3n 4B — $0.06/M, score 3.2
Meta: Llama 4 Maverick — $0.2/M, score 16.3
OpenAI: o3 Mini High — $1.1/M, score 16.3
Meta: Llama 3.3 70B Instruct — $0.1/M, score 11.9
Meta: Llama 3.1 8B Instruct — $0.05/M, score 5.4
Nex AGI: Nex-N2-Pro — $0.25/M, score 59.1
Mistral: Mistral Medium 3.5 — $1.5/M, score 46.9
inclusionAI: Ring-2.6-1T — $0.075/M, score 42.8
IBM: Granite 4.1 8B — $0.05/M, score 9.5
Qwen: Qwen3.5 397B A17B — $0.55/M, score 48.2
Qwen: Qwen3 Coder Next — $0.12/M, score 36.2
Mistral: Ministral 3 14B 2512 — $0.2/M, score 14.4
Anthropic: Claude Haiku 4.5 — $1/M, score 43.9
Qwen: Qwen3 235B A22B Thinking 2507 — $0.23/M, score 22.1
Qwen: Qwen3 8B — $0.117/M, score 9.0
Qwen: Qwen3 14B — $0.227/M, score 13.8
Qwen: Qwen3 32B — $0.08/M, score 15.3
Meta: Llama 4 Scout — $0.1/M, score 8.2
DeepSeek: DeepSeek V3 0324 — $0.25/M, score 21.2
Cohere: Command A — $2.5/M, score 27.8
Step 3.7 Flash — $0.185/M, score 39.6
GPT-6 Astra
Input price per million tokens (log scale)
Index
The stepped line is the efficient frontier: at each price, the best score available for that money or less. A model sitting on it is not being beaten by anything cheaper. Price is log-scaled because listed rates span four orders of magnitude. Only models with both a listed price and a score on this benchmark can appear.
Catalog activity
Change log Field-level changes detected between successful source imports.
Full change log
Sep 04, 2026 Context Length 922000 → 1050000
Provenance
Sources & verification Every figure on this page traces back to one of these records.
Methodology
Last verified Sep 11, 2026
Status Source-linked
Confidence Medium
Catalog source Models.dev
Public API
Use this record Fetch the complete source-linked model record. No key, no account, no rate-limited tier.
API documentation
Endpoint Copy
GET https://model.kyssta.lol/api/v1/models/openai/gpt-6-astracurl Copy
curl "https://model.kyssta.lol/api/v1/models/openai/gpt-6-astra"
Common questions
Frequently asked questions Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.
What is GPT-6 Astra?
GPT-6 Astra is OpenAI's most capable model for complex reasoning, coding, computer use, research, and document creation. It is published by OpenAI and catalogued here from Models.dev.
How much does GPT-6 Astra cost?
Listed input pricing starts at $10 per million tokens from OpenAI, rising to $11 across 19 listed providers.
What is the context length of GPT-6 Astra?
GPT-6 Astra accepts up to 1.05M tokens of context and returns up to 128K output tokens.
Does GPT-6 Astra support tool calling and structured output?
Provider catalogs list support for tool calling, structured output, reasoning, and image input.
Which providers serve GPT-6 Astra?
18 providers list this model: OpenAI, Eden AI, Vercel AI Gateway, Ofox, Azure, Neon and 12 more.
Are the weights for GPT-6 Astra open?
No. This model is served through hosted APIs only.
When was GPT-6 Astra released?
The catalog records a release date of 2026-09-04, last verified Sep 11, 2026.
OpenAI
Ofox
Azure
Neon
GitHub Copilot
Requesty
Vivgrid
OpenRouter
LLM Gateway
CrossModel
Merge Gateway
Amazon Bedrock