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).
| $5.00 | $25.00 | $0.50 | -- | -- |
- Input $5.00 / Output $25.00-- tok/s-- uptime
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 (batch) — Price history
| $0.00 | $0.00 | 46.5% | 100.0% |
- Effective in $0.00 / Effective out $0.00Token share100.0%
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).
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.
Not enough uptime data to display yet.
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 (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 | 51.9% |
| 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% |
| 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 | 50.1% |
| 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 (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 (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 | 53.6% |
| 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% |
| 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.
Not enough data for apps using this model yet.
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 (batch) 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 (batch) 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 (batch) costs $5.00/M input tokens and $25.00/M output tokens, with separate rates for Cache Read at $0.50/M tokens, Cache Write at $6.25/M tokens, and Web Search at $10.00/1K calls.
GPT-6 Astra (batch) has a 1,050,000 token context window. It supports up to 128,000 completion tokens.
Yes. GPT-6 Astra (batch) 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 (batch) 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 (batch) accepts files such as PDFs, images, and text as input and returns text.
GPT-6 Astra (batch) is served by 1 provider on OpenRouter: OpenAI.
GPT-6.1 Terra Pro, GPT-6.1 Terra, GPT-6 Luna Decisions and 58 more are other text models from OpenAI.
GPT-6 Astra (batch) was released on September 4, 2026.