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, offering strong performance at roughly half the cost of Sol.
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).
| $1.00 | $6.00 | $0.10 | -- | -- |
Input $1.00 / Output $6.00-- 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-5.6 Terra (batch) — Price history
| $0.00 | $0.00 | 82.1% | 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-5.6 Terra (Max) Intelligence Index | 32.3 |
| Artificial Analysis | GPT-5.6 Terra (Max) Coding Index | 76.7 |
| Artificial Analysis | GPT-5.6 Terra (Max) Agentic Index | 43.2 |
| Artificial Analysis | GPT-5.6 Terra (Max) GPQA Diamond | 92.5% |
| Artificial Analysis | GPT-5.6 Terra (Max) HLE | 42.9% |
| Artificial Analysis | GPT-5.6 Terra (Max) IFBench | 71.2% |
| Artificial Analysis | GPT-5.6 Terra (Max) τ²-Bench Telecom | 86.3% |
| Artificial Analysis | GPT-5.6 Terra (Max) AA-LCR | 83.0% |
| Artificial Analysis | GPT-5.6 Terra (Max) τ-Bench Banking | 40.2% |
| Artificial Analysis | GPT-5.6 Terra (Max) GDPval-AA | 48.1% |
| Artificial Analysis | GPT-5.6 Terra (Max) CritPt | 30.0% |
| Artificial Analysis | GPT-5.6 Terra (Max) SciCode | 55.0% |
| Artificial Analysis | GPT-5.6 Terra (Max) Terminal-Bench Hard | 57.6% |
| Artificial Analysis | GPT-5.6 Terra (Max) Terminal-Bench 4.0 | 35.4% |
| Artificial Analysis | GPT-5.6 Terra (Max) Terminal-Bench 2.1 | 88.0% |
| Artificial Analysis | GPT-5.6 Terra (Max) AA-Omniscience Accuracy | 42.3% |
| Artificial Analysis | GPT-5.6 Terra (Max) AA-Omniscience Non-Hallucination Rate | 10.6% |
| Artificial Analysis | GPT-5.6 Terra (Non-reasoning) Coding Index | 52.3 |
| Artificial Analysis | GPT-5.6 Terra (Non-reasoning) Agentic Index | 23.5 |
| Artificial Analysis | GPT-5.6 Terra (Non-reasoning) GPQA Diamond | 74.6% |
| Artificial Analysis | GPT-5.6 Terra (Non-reasoning) HLE | 11.4% |
| Artificial Analysis | GPT-5.6 Terra (Non-reasoning) AA-LCR | 58.7% |
| Artificial Analysis | GPT-5.6 Terra (Non-reasoning) τ-Bench Banking | 15.7% |
| Artificial Analysis | GPT-5.6 Terra (Non-reasoning) GDPval-AA | 30.3% |
| Artificial Analysis | GPT-5.6 Terra (Non-reasoning) CritPt | 2.0% |
| Artificial Analysis | GPT-5.6 Terra (Non-reasoning) SciCode | 45.1% |
| Artificial Analysis | GPT-5.6 Terra (Non-reasoning) Terminal-Bench 4.0 | 0.5% |
| Artificial Analysis | GPT-5.6 Terra (Non-reasoning) Terminal-Bench 2.1 | 56.2% |
| Artificial Analysis | GPT-5.6 Terra (Non-reasoning) AA-Omniscience Accuracy | 32.6% |
| Artificial Analysis | GPT-5.6 Terra (Non-reasoning) AA-Omniscience Non-Hallucination Rate | 4.4% |
| Artificial Analysis | GPT-5.6 Terra (Low) Coding Index | 58.1 |
| Artificial Analysis | GPT-5.6 Terra (Low) Agentic Index | 25.9 |
| Artificial Analysis | GPT-5.6 Terra (Low) GPQA Diamond | 84.3% |
| Artificial Analysis | GPT-5.6 Terra (Low) HLE | 29.2% |
| Artificial Analysis | GPT-5.6 Terra (Low) IFBench | 59.7% |
| Artificial Analysis | GPT-5.6 Terra (Low) τ²-Bench Telecom | 60.5% |
| Artificial Analysis | GPT-5.6 Terra (Low) AA-LCR | 71.3% |
| Artificial Analysis | GPT-5.6 Terra (Low) τ-Bench Banking | 18.8% |
| Artificial Analysis | GPT-5.6 Terra (Low) GDPval-AA | 30.9% |
| Artificial Analysis | GPT-5.6 Terra (Low) CritPt | 9.4% |
| Artificial Analysis | GPT-5.6 Terra (Low) SciCode | 49.9% |
| Artificial Analysis | GPT-5.6 Terra (Low) Terminal-Bench Hard | 43.9% |
| Artificial Analysis | GPT-5.6 Terra (Low) Terminal-Bench 4.0 | 1.5% |
| Artificial Analysis | GPT-5.6 Terra (Low) Terminal-Bench 2.1 | 62.5% |
| Artificial Analysis | GPT-5.6 Terra (Low) AA-Omniscience Accuracy | 39.8% |
| Artificial Analysis | GPT-5.6 Terra (Low) AA-Omniscience Non-Hallucination Rate | 8.7% |
| Artificial Analysis | GPT-5.6 Terra (Xhigh) Coding Index | 70.6 |
| Artificial Analysis | GPT-5.6 Terra (Xhigh) Agentic Index | 41.4 |
| Artificial Analysis | GPT-5.6 Terra (Xhigh) GPQA Diamond | 90.8% |
| Artificial Analysis | GPT-5.6 Terra (Xhigh) HLE | 41.9% |
| Artificial Analysis | GPT-5.6 Terra (Xhigh) IFBench | 66.3% |
| Artificial Analysis | GPT-5.6 Terra (Xhigh) τ²-Bench Telecom | 80.4% |
| Artificial Analysis | GPT-5.6 Terra (Xhigh) AA-LCR | 79.0% |
| Artificial Analysis | GPT-5.6 Terra (Xhigh) τ-Bench Banking | 29.7% |
| Artificial Analysis | GPT-5.6 Terra (Xhigh) GDPval-AA | 47.8% |
| Artificial Analysis | GPT-5.6 Terra (Xhigh) CritPt | 27.1% |
| Artificial Analysis | GPT-5.6 Terra (Xhigh) SciCode | 52.3% |
| Artificial Analysis | GPT-5.6 Terra (Xhigh) Terminal-Bench Hard | 62.9% |
| Artificial Analysis | GPT-5.6 Terra (Xhigh) Terminal-Bench 4.0 | 10.1% |
| Artificial Analysis | GPT-5.6 Terra (Xhigh) Terminal-Bench 2.1 | 80.1% |
| Artificial Analysis | GPT-5.6 Terra (Xhigh) AA-Omniscience Accuracy | 41.3% |
| Artificial Analysis | GPT-5.6 Terra (Xhigh) AA-Omniscience Non-Hallucination Rate | 9.9% |
| Artificial Analysis | GPT-5.6 Terra (High) Coding Index | 67.1 |
| Artificial Analysis | GPT-5.6 Terra (High) Agentic Index | 36.7 |
| Artificial Analysis | GPT-5.6 Terra (High) GPQA Diamond | 89.6% |
| Artificial Analysis | GPT-5.6 Terra (High) HLE | 38.5% |
| Artificial Analysis | GPT-5.6 Terra (High) IFBench | 64.4% |
| Artificial Analysis | GPT-5.6 Terra (High) τ²-Bench Telecom | 78.4% |
| Artificial Analysis | GPT-5.6 Terra (High) AA-LCR | 77.7% |
| Artificial Analysis | GPT-5.6 Terra (High) τ-Bench Banking | 28.7% |
| Artificial Analysis | GPT-5.6 Terra (High) GDPval-AA | 44.4% |
| Artificial Analysis | GPT-5.6 Terra (High) CritPt | 22.9% |
| Artificial Analysis | GPT-5.6 Terra (High) SciCode | 52.4% |
| Artificial Analysis | GPT-5.6 Terra (High) Terminal-Bench Hard | 57.6% |
| Artificial Analysis | GPT-5.6 Terra (High) Terminal-Bench 4.0 | 1.5% |
| Artificial Analysis | GPT-5.6 Terra (High) Terminal-Bench 2.1 | 75.7% |
| Artificial Analysis | GPT-5.6 Terra (High) AA-Omniscience Accuracy | 41.2% |
| Artificial Analysis | GPT-5.6 Terra (High) AA-Omniscience Non-Hallucination Rate | 9.0% |
| Artificial Analysis | GPT-5.6 Terra (Medium) Coding Index | 64.7 |
| Artificial Analysis | GPT-5.6 Terra (Medium) Agentic Index | 30.4 |
| Artificial Analysis | GPT-5.6 Terra (Medium) GPQA Diamond | 87.2% |
| Artificial Analysis | GPT-5.6 Terra (Medium) HLE | 33.3% |
| Artificial Analysis | GPT-5.6 Terra (Medium) IFBench | 62.2% |
| Artificial Analysis | GPT-5.6 Terra (Medium) τ²-Bench Telecom | 72.8% |
| Artificial Analysis | GPT-5.6 Terra (Medium) AA-LCR | 74.0% |
| Artificial Analysis | GPT-5.6 Terra (Medium) τ-Bench Banking | 25.6% |
| Artificial Analysis | GPT-5.6 Terra (Medium) GDPval-AA | 38.7% |
| Artificial Analysis | GPT-5.6 Terra (Medium) CritPt | 17.4% |
| Artificial Analysis | GPT-5.6 Terra (Medium) SciCode | 50.5% |
| Artificial Analysis | GPT-5.6 Terra (Medium) Terminal-Bench 4.0 | 1.0% |
| Artificial Analysis | GPT-5.6 Terra (Medium) Terminal-Bench 2.1 | 72.3% |
| Artificial Analysis | GPT-5.6 Terra (Medium) AA-Omniscience Accuracy | 40.5% |
| Artificial Analysis | GPT-5.6 Terra (Medium) AA-Omniscience Non-Hallucination Rate | 8.7% |
| Vals AI | GPT-5.6 Terra Code Migration | 47.8% |
| Vals AI | GPT-5.6 Terra CorpFin v2 | 65.3% |
| Vals AI | GPT-5.6 Terra CyberBench v1.1 | 72.1% |
| Vals AI | GPT-5.6 Terra EMB | 66.2% |
| Vals AI | GPT-5.6 Terra Finance Agent (v2) | 54.4% |
| Vals AI | GPT-5.6 Terra Financial Coaching Bench | 71.0% |
| Vals AI | GPT-5.6 Terra GPQA Diamond | 90.9% |
| Vals AI | GPT-5.6 Terra Harvey's Legal Agent Benchmark v1 | 0.8% |
| Vals AI | GPT-5.6 Terra IOI | 87.6% |
| Vals AI | GPT-5.6 Terra LiveCodeBench | 85.9% |
| Vals AI | GPT-5.6 Terra LegalBench | 85.1% |
| Vals AI | GPT-5.6 Terra Legal Research Bench | 41.3% |
| Vals AI | GPT-5.6 Terra MedCode | 43.4% |
| Vals AI | GPT-5.6 Terra MedScribe | 82.9% |
| Vals AI | GPT-5.6 Terra MMLU Pro | 86.7% |
| Vals AI | GPT-5.6 Terra MMMU Pro | 86.5% |
| Vals AI | GPT-5.6 Terra MortgageTax | 67.3% |
| Vals AI | GPT-5.6 Terra ProgramBench | 0.5% |
| Vals AI | GPT-5.6 Terra ProofBench v1.1 | 74.0% |
| Vals AI | GPT-5.6 Terra Public Benefits Bench v1.1 | 62.4% |
| Vals AI | GPT-5.6 Terra SAGE | 87.0% |
| Vals AI | GPT-5.6 Terra SkillsBench | 58.9% |
| Vals AI | GPT-5.6 Terra SRE Bench | 9.5% |
| Vals AI | GPT-5.6 Terra SWE-bench | 95.4% |
| Vals AI | GPT-5.6 Terra Tax Agent Bench | 30.0% |
| Vals AI | GPT-5.6 Terra TaxEval v2 | 76.2% |
| Vals AI | GPT-5.6 Terra Terminal-Bench 4.0 | 22.7% |
| Vals AI | GPT-5.6 Terra Terminal-Bench-Science | 10.0% |
| Vals AI | GPT-5.6 Terra Vals Index | 53.1% |
| Vals AI | GPT-5.6 Terra Vals Multimodal Index | 65.1% |
| Vals AI | GPT-5.6 Terra Vibe Code Bench 1-100 | 14.8% |
| Vals AI | GPT-5.6 Terra Vibe Code Bench v1.1 | 74.6% |
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-5.6 Terra (batch) on OpenRouter.
Frequently asked questions
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, offering strong performance at roughly half the cost of Sol.
The GPT-5.6 Terra (batch) documentation on OpenRouter includes the GPT-5.6 Migration Guide cookbook and the GPT 5.6 Discounts & Jevons Paradox blog post. The quickstart covers API keys and your first request, and the API reference lists every parameter.
GPT-5.6 Terra (batch) costs $1.00/M input tokens and $6.00/M output tokens, with separate rates for Cache Read at $0.10/M tokens and Web Search at $10.00/1K calls.
GPT-5.6 Terra (batch) has a 1,050,000 token context window. It supports up to 128,000 completion tokens.
Yes. GPT-5.6 Terra (batch) accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
GPT-5.6 Terra (batch) accepts files such as PDFs, images, and text as input and returns text.
GPT-5.6 Terra (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-5.6 Terra (batch) was released on July 9, 2026. Its knowledge cutoff is February 16, 2026.