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Favicon for openai

OpenAI: GPT-6.1 Terra

openai/gpt-6.1-terra

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GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

Modalities
In / Out Price
$1 / $5per 1M
Context
1.1M
Released
Oct 26, 2026
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

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.

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.

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.

Benchmark score summary for OpenAI: GPT-6.1 Terra (Artificial Analysis and Vals AI)
SourceBenchmarkScore
Artificial AnalysisGPT-6.1 Terra (Max) Intelligence Index48.1
Artificial AnalysisGPT-6.1 Terra (Max) HLE46.2%
Artificial AnalysisGPT-6.1 Terra (Max) AA-LCR82.7%
Artificial AnalysisGPT-6.1 Terra (Max) GDPval-AA48.8%
Artificial AnalysisGPT-6.1 Terra (Max) CritPt28.0%
Artificial AnalysisGPT-6.1 Terra (Max) SciCode55.1%
Artificial AnalysisGPT-6.1 Terra (Max) Terminal-Bench 4.055.6%
Artificial AnalysisGPT-6.1 Terra (Max) AA-Omniscience Accuracy49.1%
Artificial AnalysisGPT-6.1 Terra (Max) AA-Omniscience Non-Hallucination Rate62.0%
Vals AIGPT-6.1 Terra EMB v1.173.3%
Vals AIGPT-6.1 Terra Finance Agent v2.156.0%
Vals AIGPT-6.1 Terra Vals Finance Index52.9%
Vals AIGPT-6.1 Terra HLAB-Vals-1.11.7%
Vals AIGPT-6.1 Terra Vals Legal Index58.6%
Vals AIGPT-6.1 Terra Legal Research Bench26.0%
Vals AIGPT-6.1 Terra Tax Agent Bench15.2%
Vals AIGPT-6.1 Terra Terminal-Bench 4.049.5%
Vals AIGPT-6.1 Terra Vals Index60.2%
Vals AIGPT-6.1 Terra Vibe Code Bench v1.184.0%

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.

OpenAI: GPT Terra versions

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Throughput
79tok/s

P50, best across providers

Latency
2.26s

P50, best provider

AutoExacto benchmarks
GPQA DiamondTAU-BenchOpenAI91.1%70.0%Azure91.9%68.7%
Uptime (3d)The model was reachable. Request routed to a provider.
99.99%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.80%

Availability over the last 3 days

Last 72 hours
Availability 99.80%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.79%
Without Routing
97.22%

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.

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Frequently asked questions

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

GPT-6.1 Terra costs $1.00/M input tokens and $5.00/M output tokens, with separate rates for Cache Read at $0.05/M tokens, Cache Write at $1.25/M tokens, and Web Search at $10.00/1K calls.

GPT-6.1 Terra has a 1,050,000 token context window. It supports up to 128,000 completion tokens.

Yes. GPT-6.1 Terra 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-6.1 Terra 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-6.1 Terra accepts files such as PDFs, images, and text as input and returns text.

GPT-6.1 Terra Pro, GPT-6 Luna Decisions, GPT-6.1 Sol Pro and 62 more are other text models from OpenAI.

GPT-6.1 Terra was released on October 26, 2026.