OpenAI · Frontier
GPT Astra Latest
Compatibility alias that routes to GPT 6 Astra, the latest supported GPT Astra model.
- Reasoning
- Tools
- Vision
- Structured output
- PDF input
- Input
- Text, Images
- Output
- Text
- Reasoning effort
- low · medium · high · xhigh · max
- Discovery tier
- Frontier
Pricing
USD per 1M tokens- Input
- $10.00
- Output
- $50.00
- Cache read
- $1.00
- Cache write
- $12.50
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1.1M
- Max output
- 128K
- Average output (7 days)
- 599 tokens
- Longer than 56% of 473 models
Side by side
GPT Astra Latest compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| GPT Astra LatestOpenAIThis model | GPT 6 Luna ProOpenAIRemove | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Discovery tier | Frontier | Efficient |
| Added | Sep 11, 2026 | Sep 22, 2026 |
| Limits | ||
| Context window | 1.05M | 1.05M |
| Max output | 128K | 128K |
| Average output | 599 tokens | 2.8K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $10.00 | $0.10Best |
| Output | $50.00 | $0.50Best |
| Cache read | $1.00 | $0.01Best |
| Cache write | $12.50 | $0.13Best |
| Performance | ||
| Throughput | 128.5 tok/s | 295.0 tok/sBest |
| Time to first token | 23.1 sBest | 26.8 s |
| Request success (24h) | 98.2% | 100.0%Best |
| Benchmark indexes | ||
| Intelligence Index | 49.6 | — |
| Coding Index | 76.7 | — |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | Yes |
| PDF input | Yes | Yes |
| Reasoning effort | low, medium, high, xhigh, max | low, medium, high, xhigh, max |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- GPT Astra Latest
- GPT 6 Luna Pro
Intelligence Index
- GPT Astra Latest49.6
- GPT 6 Luna Pro—
GPT Astra Latest tested at medium reasoning effort
GPT Astra Latest: Better than 96% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- GPT Astra Latest: 76.7
- GPT 6 Luna Pro: —
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- GPT Astra Latest: 64.6%
- GPT 6 Luna Pro: —
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- GPT Astra Latest: 33.6%
- GPT 6 Luna Pro: —
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- GPT Astra Latest: 1,460 Elo
- GPT 6 Luna Pro: —
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- GPT Astra Latest: 1,487 Elo
- GPT 6 Luna Pro: —
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- GPT Astra Latest: 30.4%
- GPT 6 Luna Pro: —
AA-LCRv1.1
Reasoning across long documents
- GPT Astra Latest: 79.7%
- GPT 6 Luna Pro: —
MLCR-AA
Long-context reasoning over medical records
- GPT Astra Latest: 38.3%
- GPT 6 Luna Pro: —
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GPT Astra Latest: 52.7%
- GPT 6 Luna Pro: —
GPQA Diamond
Graduate-level science questions
- GPT Astra Latest: 93.9%
- GPT 6 Luna Pro: —
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- GPT Astra Latest: 49.5%
- GPT 6 Luna Pro: —
SciCode
Scientific computing in Python
- GPT Astra Latest: 54.2%
- GPT 6 Luna Pro: —
Legacy evaluations
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GPT Astra Latest: 79.7%
- GPT 6 Luna Pro: —
Scores from Artificial Analysis, updated Oct 26, 2026. GPT Astra Latest was tested at medium reasoning effort; compare scores measured at the same effort.Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Throughput
- 128.5 tok/s
- Faster than 73% of 260 models
- Time to first token
- 23.1 s
- Quicker than 2% of 260 models
- Prompt cache hits
- 61.6%
- About $4.46 per 1M input tokens with caching
- Request success (24h)
- 97.5%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-astra-latest",
"reasoning_effort": "medium",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="openai/gpt-astra-latest",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)OpenAI
Related models
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