GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon agentic tasks that involve computer and browser use.
Providers
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).
| $10.00 | $50.00 | $1.00 | 1.46s | 62 tok/s | ||
| $10.00 | $50.00 | $1.00 | 4.80s | 37 tok/s | ||
| $10.00 | $50.00 | $1.00 | 4.82s | 35 tok/s | ||
Not used in Standard routing:Why these endpoints are not used | ||||||
Flex | $5.00 | $25.00 | $0.50 | 5.28s | 33 tok/s | |
| $11.00 | $55.00 | $1.10 | 1.64s | 28 tok/s | ||
| $11.00 | $55.00 | $1.10 | 2.25s | 35 tok/s | ||
Fast | $20.00 | $100.00 | $2.00 | 1.62s | 67 tok/s | |
Ultrafast | $60.00 | $300.00 | $6.00 | -- | -- | |
- Input $10.00 / Output $50.0062 tok/s99.14% uptime
- Input $10.00 / Output $50.0037 tok/s99.79% uptime
- Input $10.00 / Output $50.0035 tok/s99.43% uptime
- Not used in Standard routing:Why these endpoints are not used
- Input $5.00 / Output $25.0033 tok/s100.00% uptimeFlex
- Input $11.00 / Output $55.0028 tok/s100.00% uptime
- Input $11.00 / Output $55.0035 tok/s99.56% uptime
- Input $20.00 / Output $100.0067 tok/s100.00% uptimeFast
- Input $60.00 / Output $300.00-- tok/s-- uptimeUltrafast
Pricing
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Weighted average
GPT-6 Astra — Price history
| $2.03 | $50.57 | 92.0% | 45.7% | ||
| $2.36 | $50.47 | 89.5% | 46.1% | ||
| $2.63 | $50.21 | 86.2% | 2.0% | ||
Not used in Standard routing:Why these endpoints are not used | |||||
Flex | $1.23 | $25.00 | 87.0% | 4.0% | |
Fast | $3.87 | $100.00 | 91.3% | 2.1% | |
| $5.59 | $55.00 | 64.3% | 0.0% | ||
| $13.58 | $55.00 | 0.0% | 0.0% | ||
Ultrafast | $59.68 | $300.00 | 22.2% | 0.0% | |
- Effective in $2.03 / Effective out $50.57Token share45.7%
- Effective in $2.36 / Effective out $50.47Token share46.1%
- Effective in $2.63 / Effective out $50.21Token share2.0%
- Not used in Standard routing:Why these endpoints are not used
- Effective in $1.23 / Effective out $25.00FlexToken share4.0%
- Effective in $3.87 / Effective out $100.00FastToken share2.1%
- Effective in $5.59 / Effective out $55.00Token share0.0%
- Effective in $13.58 / Effective out $55.00Token share0.0%
- Effective in $59.68 / Effective out $300.00UltrafastToken share0.0%
Performance
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
P50, best across providers
P50, best provider
Uptime
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Availability over the last 3 days
Last 72 hoursAvailability over the last 24 hours
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.
Benchmarks
Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.
| Source | Benchmark | Score |
|---|---|---|
| Artificial Analysis | GPT-6 Astra (Max) Intelligence Index | 56.9 |
| Artificial Analysis | GPT-6 Astra (Max) Coding Index | 76.9 |
| Artificial Analysis | GPT-6 Astra (Max) Agentic Index | 51.0 |
| Artificial Analysis | GPT-6 Astra (Max) GPQA Diamond | 96.1% |
| Artificial Analysis | GPT-6 Astra (Max) HLE | 54.7% |
| Artificial Analysis | GPT-6 Astra (Max) AA-LCR | 80.7% |
| Artificial Analysis | GPT-6 Astra (Max) τ-Bench Banking | 41.4% |
| Artificial Analysis | GPT-6 Astra (Max) GDPval-AA | 54.3% |
| Artificial Analysis | GPT-6 Astra (Max) CritPt | 31.7% |
| Artificial Analysis | GPT-6 Astra (Max) SciCode | 56.5% |
| Artificial Analysis | GPT-6 Astra (Max) Terminal-Bench 4.0 | 59.1% |
| Artificial Analysis | GPT-6 Astra (Max) Terminal-Bench 2.1 | 88.4% |
| Artificial Analysis | GPT-6 Astra (Max) AA-Omniscience Accuracy | 61.6% |
| Artificial Analysis | GPT-6 Astra (Max) AA-Omniscience Non-Hallucination Rate | 50.2% |
| Artificial Analysis | GPT-6 Astra (Medium) Intelligence Index | 51.6 |
| Artificial Analysis | GPT-6 Astra (Medium) Coding Index | 76.7 |
| Artificial Analysis | GPT-6 Astra (Medium) Agentic Index | 46.0 |
| Artificial Analysis | GPT-6 Astra (Medium) GPQA Diamond | 93.9% |
| Artificial Analysis | GPT-6 Astra (Medium) HLE | 52.7% |
| Artificial Analysis | GPT-6 Astra (Medium) AA-LCR | 79.7% |
| Artificial Analysis | GPT-6 Astra (Medium) τ-Bench Banking | 35.5% |
| Artificial Analysis | GPT-6 Astra (Medium) GDPval-AA | 49.9% |
| Artificial Analysis | GPT-6 Astra (Medium) CritPt | 29.1% |
| Artificial Analysis | GPT-6 Astra (Medium) SciCode | 54.2% |
| Artificial Analysis | GPT-6 Astra (Medium) Terminal-Bench 4.0 | 49.5% |
| Artificial Analysis | GPT-6 Astra (Medium) Terminal-Bench 2.1 | 89.5% |
| Artificial Analysis | GPT-6 Astra (Medium) AA-Omniscience Accuracy | 59.6% |
| Artificial Analysis | GPT-6 Astra (Medium) AA-Omniscience Non-Hallucination Rate | 54.8% |
| Artificial Analysis | GPT-6 Astra (Low) Intelligence Index | 43.3 |
| Artificial Analysis | GPT-6 Astra (Low) Coding Index | 75.7 |
| Artificial Analysis | GPT-6 Astra (Low) Agentic Index | 38.8 |
| Artificial Analysis | GPT-6 Astra (Low) GPQA Diamond | 93.1% |
| Artificial Analysis | GPT-6 Astra (Low) HLE | 49.2% |
| Artificial Analysis | GPT-6 Astra (Low) AA-LCR | 80.0% |
| Artificial Analysis | GPT-6 Astra (Low) τ-Bench Banking | 32.0% |
| Artificial Analysis | GPT-6 Astra (Low) GDPval-AA | 45.2% |
| Artificial Analysis | GPT-6 Astra (Low) CritPt | 26.3% |
| Artificial Analysis | GPT-6 Astra (Low) SciCode | 54.1% |
| Artificial Analysis | GPT-6 Astra (Low) Terminal-Bench 4.0 | 41.9% |
| Artificial Analysis | GPT-6 Astra (Low) Terminal-Bench 2.1 | 88.0% |
| Artificial Analysis | GPT-6 Astra (Low) AA-Omniscience Accuracy | 58.6% |
| Artificial Analysis | GPT-6 Astra (Low) AA-Omniscience Non-Hallucination Rate | 55.8% |
| Artificial Analysis | GPT-6 Astra (Xhigh) Intelligence Index | 55.3 |
| Artificial Analysis | GPT-6 Astra (Xhigh) Coding Index | 75.9 |
| Artificial Analysis | GPT-6 Astra (Xhigh) Agentic Index | 50.2 |
| Artificial Analysis | GPT-6 Astra (Xhigh) GPQA Diamond | 96.3% |
| Artificial Analysis | GPT-6 Astra (Xhigh) HLE | 54.6% |
| Artificial Analysis | GPT-6 Astra (Xhigh) AA-LCR | 80.0% |
| Artificial Analysis | GPT-6 Astra (Xhigh) τ-Bench Banking | 43.1% |
| Artificial Analysis | GPT-6 Astra (Xhigh) GDPval-AA | 53.5% |
| Artificial Analysis | GPT-6 Astra (Xhigh) CritPt | 31.4% |
| Artificial Analysis | GPT-6 Astra (Xhigh) SciCode | 55.7% |
| Artificial Analysis | GPT-6 Astra (Xhigh) Terminal-Bench 4.0 | 59.6% |
| Artificial Analysis | GPT-6 Astra (Xhigh) Terminal-Bench 2.1 | 89.1% |
| Artificial Analysis | GPT-6 Astra (Xhigh) AA-Omniscience Accuracy | 61.0% |
| Artificial Analysis | GPT-6 Astra (Xhigh) AA-Omniscience Non-Hallucination Rate | 55.4% |
| Artificial Analysis | GPT-6 Astra (High) Intelligence Index | 54.8 |
| Artificial Analysis | GPT-6 Astra (High) Coding Index | 77.1 |
| Artificial Analysis | GPT-6 Astra (High) Agentic Index | 48.2 |
| Artificial Analysis | GPT-6 Astra (High) GPQA Diamond | 94.9% |
| Artificial Analysis | GPT-6 Astra (High) HLE | 53.1% |
| Artificial Analysis | GPT-6 Astra (High) AA-LCR | 80.0% |
| Artificial Analysis | GPT-6 Astra (High) τ-Bench Banking | 40.0% |
| Artificial Analysis | GPT-6 Astra (High) GDPval-AA | 51.8% |
| Artificial Analysis | GPT-6 Astra (High) CritPt | 28.9% |
| Artificial Analysis | GPT-6 Astra (High) SciCode | 55.4% |
| Artificial Analysis | GPT-6 Astra (High) Terminal-Bench 4.0 | 54.0% |
| Artificial Analysis | GPT-6 Astra (High) Terminal-Bench 2.1 | 89.9% |
| Artificial Analysis | GPT-6 Astra (High) AA-Omniscience Accuracy | 61.1% |
| Artificial Analysis | GPT-6 Astra (High) AA-Omniscience Non-Hallucination Rate | 57.5% |
| Vals AI | GPT-6 Astra BioMysteryBench | 79.3% |
| Vals AI | GPT-6 Astra Code Migration v1.1 | 80.6% |
| Vals AI | GPT-6 Astra CyberBench v1.1 | 41.1% |
| Vals AI | GPT-6 Astra EMB v1.1 | 72.7% |
| Vals AI | GPT-6 Astra Finance Agent v2.1 | 60.4% |
| Vals AI | GPT-6 Astra Vals Finance Index | 55.6% |
| Vals AI | GPT-6 Astra Financial Coaching Bench | 67.5% |
| Vals AI | GPT-6 Astra HLAB-Vals-1.1 | 7.1% |
| Vals AI | GPT-6 Astra Immigration | 67.7% |
| Vals AI | GPT-6 Astra IOI | 100.0% |
| Vals AI | GPT-6 Astra Vals Legal Index | 68.4% |
| Vals AI | GPT-6 Astra Legal Research Bench | 39.4% |
| Vals AI | GPT-6 Astra MedCode | 48.5% |
| Vals AI | GPT-6 Astra MedScribe | 87.9% |
| Vals AI | GPT-6 Astra MysteryMechanism | 53.2% |
| Vals AI | GPT-6 Astra ProgramBench | 5.5% |
| Vals AI | GPT-6 Astra ProofBench v1.1 | 99.0% |
| Vals AI | GPT-6 Astra Robo-bench | 23.3% |
| Vals AI | GPT-6 Astra Vals RSI Index | 27.1% |
| Vals AI | GPT-6 Astra SAGE v1 | 46.4% |
| Vals AI | GPT-6 Astra Vals Science Index | 65.1% |
| Vals AI | GPT-6 Astra SRE Bench | 56.9% |
| Vals AI | GPT-6 Astra SWE-bench Multimodal | 43.3% |
| Vals AI | GPT-6 Astra Tax Agent Bench | 20.7% |
| Vals AI | GPT-6 Astra Terminal-Bench 4.0 | 59.6% |
| Vals AI | GPT-6 Astra Terminal-Bench-Science | 62.9% |
| Vals AI | GPT-6 Astra Vals Index | 65.0% |
| Vals AI | GPT-6 Astra Vibe Code Bench 1-100 | 27.6% |
| Vals AI | GPT-6 Astra Vibe Code Bench v1.1 | 89.6% |
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Activity
Token volume and request traffic to this model over time.
API
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Not currently available through EU in-region routing. In-region routing docs
Documentation
Guides, cookbooks, blog posts, and tools for building with OpenAI: GPT-6 Astra on OpenRouter.
Frequently asked questions
GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon agentic tasks that involve computer and browser use.
The GPT-6 Astra documentation on OpenRouter includes the GPT-6 Migration Guide cookbook. The quickstart covers API keys and your first request, and the API reference lists every parameter.
GPT-6 Astra costs $10.00/M input tokens and $50.00/M output tokens, with separate rates for Cache Read at $1.00/M tokens and Cache Write at $12.50/M tokens.
GPT-6 Astra has a 1,050,000 token context window. It supports up to 128,000 completion tokens.
Yes. GPT-6 Astra accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
Yes. OpenAI caches prompts of 1024 tokens or more automatically, and GPT-6 Astra bills a cache write on each cached prompt whether or not the cached prefix is read again. To turn caching off for a request, set prompt_cache_options.mode to "explicit" at the request root and do not mark any content block with prompt_cache_breakpoint. Explicit mode disables OpenAI-managed breakpoints, so a request with none of your own has no cacheable prefix and is billed at the plain input rate. See the prompt caching guide.
GPT-6 Astra accepts files such as PDFs, images, and text as input and returns text.
GPT-6 Astra is served by 3 providers on OpenRouter: OpenAI, Amazon Bedrock, and Azure. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.
GPT-6 Astra was released on September 4, 2026.