Model trackerAll models and earlier releases
OpenAI · launched 26 Oct 2026
GPT-6.1 Terra
A fast, efficient model for computer use, visual reasoning and writing, priced 50% below GPT-6.1 Sol.
Read the official announcementModel details
- Vendor
- OpenAI
- Launch date
- 26 Oct 2026
- Input price
- $1.00 / 1M tokens
- Output price
- $5.00 / 1M tokens
- Cached input
- $0.05 / 1M tokens
- Batch discount
- 50%
- Context window
- 1.05M tokens
- Max output
- 128K tokens
- Input types
- Text, Image
- API model ID
- gpt-6.1-terra
Listed rates apply up to 272K input tokens. Above 272K, input costs $2, cached input $0.10 and output $7.50 per million tokens for the full request.
Official pricing source · checked 27 Oct 2026
Compared with GPT-5.6 Terra
Input price
$1.00
was $2.00 · 50% cheaper
Output price
$5.00
was $12 · 58% cheaper
Blended price
$2.00
was $4.50 · 56% cheaper
Listed rates apply up to 272K input tokens. Above 272K, input costs $2, cached input $0.10 and output $7.50 per million tokens for the full request.
Best published results
- Agents' Last Exam v1max effort · $1.01 per task · reported by OpenAI60%
- MMMU-Pro (Vision)max effort · $0.012 per task · reported by OpenAI85.5%
- OSWorld 2.1 (offline set)max effort · $1.19 per task · reported by OpenAI74.2%
- Factual error rate on difficult prompts(lower is better)max effort · $0.12 per task · reported by OpenAI4.3%
- Terminal-Bench 4.0max effort · $1.84 per task · reported by OpenAI50.3%
- Terminal-Bench Science 0.1max effort · $4.15 per task · reported by OpenAI58.3%
Price compared with other models
| Model | Launched | Input / 1M | Output / 1M | Cached / 1M | Blended / 1M | vs GPT-6.1 Terra |
|---|---|---|---|---|---|---|
| Claude Haiku 5.5AnthropicListed prices and comparisons apply to prompts up to 100K tokens. Above 100K, input costs $0.50, output $2.50 and cache reads $0.05 per million tokens. | 7 Oct 2026 | $0.10 | $0.50 | $0.01 | $0.20 | 90% cheaper |
| GPT-6 LunaOpenAI | 22 Sept 2026 | $0.10 | $0.50 | $0.01 | $0.20 | 90% cheaper |
| GPT-5.6 LunaOpenAI | 9 Jul 2026 | $0.20 | $1.20 | $0.02 | $0.45 | 78% cheaper |
| Gemini 3.5 Flash-LiteGoogle DeepMindText, image, video and audio inputs share the listed rate. Cache storage and grounding are billed separately. | 21 Jul 2026 | $0.30 | $2.50 | $0.03 | $0.85 | 57% cheaper |
| Gemini 3.8 FlashGoogle DeepMindIntroductory rates through 31 December 2026. From 1 January 2027, input is $1.50, output $7.50 and cached input $0.15 per million tokens. Cache storage and grounding are billed separately. | 2 Sept 2026 | $0.75 | $3.75 | $0.075 | $1.50 | 25% cheaper |
| Claude Haiku 4.5Anthropic | 15 Oct 2025 | $1.00 | $5.00 | $0.10 | $2.00 | Same price |
| GPT-6.1 TerraOpenAIListed rates apply up to 272K input tokens. Above 272K, input costs $2, cached input $0.10 and output $7.50 per million tokens for the full request. | 26 Oct 2026 | $1.00 | $5.00 | $0.05 | $2.00 | Baseline |
| Grok 4.7SpaceXAIBase rates apply up to 200K context tokens; higher-context requests use different rates. Batch API is not supported. The separate fast variant costs twice as much. | 21 Sept 2026 | $2.00 | $6.00 | $0.50 | $3.00 | 50% more |
| Claude Sonnet 5Anthropic | 30 Jun 2026 | $2.00 | $10 | $0.20 | $4.00 | 2× the price |
| Claude Sonnet 5.5AnthropicCache reads were reduced from $0.20 to $0.10 per million tokens on 7 October 2026. | 28 Sept 2026 | $2.00 | $10 | $0.10 | $4.00 | 2× the price |
| Gemini 4 ArgonGoogle DeepMindIntroductory rates through 30 November 2026. From 1 December 2026, input is $4, output $20 and cached input $0.20 per million tokens. Caching is implicit only. Long decode raises the output limit to 1,048,576 tokens. | 30 Sept 2026 | $2.00 | $10 | $0.10 | $4.00 | 2× the price |
| GPT-6 SolOpenAIListed rates apply up to 272K input tokens. Above 272K, input costs $4, cached input $0.40 and output $15 per million tokens for the full request. | 22 Sept 2026 | $2.00 | $10 | $0.20 | $4.00 | 2× the price |
| GPT-6.1 SolOpenAIListed rates apply up to 272K input tokens. Above 272K, input costs $4, cached input $0.20 and output $15 per million tokens for the full request. | 29 Sept 2026 | $2.00 | $10 | $0.10 | $4.00 | 2× the price |
| Gemini 3.1 ProGoogle DeepMind · PreviewRates apply to prompts up to 200K tokens. Above 200K, input is $4, output $18 and cached input $0.40 per million tokens. Cache storage and grounding are billed separately. | 19 Feb 2026 | $2.00 | $12 | $0.20 | $4.50 | 2.3× the price |
| GPT-5.6 TerraOpenAI · previous generationOpenAI's model documentation supports the Batch API but does not list a batch price. | 9 Jul 2026 | $2.00 | $12 | $0.20 | $4.50 | 2.3× the price |
| Claude Opus 5.5Anthropic | 22 Sept 2026 | $4.00 | $20 | $0.20 | $8.00 | 4× the price |
| GPT-5.6 SolOpenAIPrice before the GPT-6 launch, from OpenAI's announcement. OpenRouter now lists $2 / $10. | 9 Jul 2026 | $4.00 | $20 | – | $8.00 | 4× the price |
| Claude Opus 5Anthropic | 24 Jul 2026 | $5.00 | $25 | $0.50 | $10 | 5× the price |
| Claude Fable 5Anthropic | 9 Jun 2026 | $10 | $50 | $1.00 | $20 | 10× the price |
| Claude Fable 5.1Anthropic | 1 Sept 2026 | $10 | $50 | $0.25 | $20 | 10× the price |
| GPT-6 AstraOpenAI | 4 Sept 2026 | $10 | $50 | $1.00 | $20 | 10× the price |
GPT-6.1 Sol and GPT-6 Sol rates were checked on 8 October 2026 against OpenAI model documentation. USD per million tokens, checked 2 Oct 2026 via OpenRouter. Comparison uses the blended price (3 input tokens for every output token). Haiku 5.5 and Sonnet 5.5 prices were updated from Anthropic's 7 October 2026 announcement. Gemini and Grok prices were rechecked against official Google and xAI documentation on 27 October 2026. GPT-6.1 Terra prices were checked against OpenAI documentation on 27 October 2026.
Official benchmark results
Agents' Last Exam v1
Score against cost · reported by OpenAI on 26 Oct 2026 · exact values
Professional computer-use tasks, such as turning architectural drawings into a 3D model or logging an animated film shot by shot.
- GPT-6.1 Terra
- GPT-5.6 Terra
- GPT-6.1 Sol
- GPT-6 Astra
- GPT-6 Luna
- Claude Opus 5.5
Show data table
| Model | Effort | Score (%) | Cost per task |
|---|---|---|---|
| GPT-6.1 Terra | low | 55.9% | $0.16 |
| GPT-6.1 Terra | medium | 57.6% | $0.29 |
| GPT-6.1 Terra | high | 57.2% | $0.39 |
| GPT-6.1 Terra | xhigh | 58.5% | $0.66 |
| GPT-6.1 Terra | max | 60% | $1.01 |
| GPT-5.6 Terra | low | 40.2% | $0.59 |
| GPT-5.6 Terra | medium | 42.6% | $0.84 |
| GPT-5.6 Terra | high | 46.6% | $1.72 |
| GPT-5.6 Terra | xhigh | 48.5% | $2.50 |
| GPT-5.6 Terra | max | 50.7% | $3.58 |
| GPT-6.1 Sol | low | 52.4% | $0.70 |
| GPT-6.1 Sol | medium | 53.8% | $1.31 |
| GPT-6.1 Sol | high | 55.3% | $1.45 |
| GPT-6.1 Sol | xhigh | 56.5% | $1.45 |
| GPT-6.1 Sol | max | 58.6% | $2.00 |
| GPT-6 Astra | low | 53.4% | $3.55 |
| GPT-6 Astra | medium | 57.6% | $4.82 |
| GPT-6 Astra | high | 57.8% | $5.15 |
| GPT-6 Astra | xhigh | 58.3% | $5.91 |
| GPT-6 Astra | max | 59.3% | $7.24 |
| GPT-6 Luna | low | 36.3% | $0.022 |
| GPT-6 Luna | medium | 46.8% | $0.093 |
| GPT-6 Luna | high | 43.6% | $0.087 |
| GPT-6 Luna | xhigh | 47.9% | $0.093 |
| GPT-6 Luna | max | 50.9% | $0.14 |
| Claude Opus 5.5 | max | 63.2% | $8.82 |
- Exact score and cost values from the chart data embedded in OpenAI's announcement.
MMMU-Pro (Vision)
Score against cost · reported by OpenAI on 26 Oct 2026 · exact values
Visual reasoning across expert-level, multi-discipline questions.
- GPT-6.1 Terra
- GPT-5.6 Terra
- GPT-6.1 Sol
- GPT-6 Astra
- GPT-6 Luna
Show data table
| Model | Effort | Score (%) | Cost per task |
|---|---|---|---|
| GPT-6.1 Terra | low | 83.7% | $0.0038 |
| GPT-6.1 Terra | medium | 84.6% | $0.0041 |
| GPT-6.1 Terra | high | 85% | $0.0045 |
| GPT-6.1 Terra | xhigh | 85.4% | $0.0055 |
| GPT-6.1 Terra | max | 85.5% | $0.012 |
| GPT-5.6 Terra | low | 74.9% | $0.011 |
| GPT-5.6 Terra | medium | 76.4% | $0.012 |
| GPT-5.6 Terra | high | 77.5% | $0.014 |
| GPT-5.6 Terra | xhigh | 78.7% | $0.02 |
| GPT-5.6 Terra | max | 81.7% | $0.079 |
| GPT-6.1 Sol | low | 84% | $0.0076 |
| GPT-6.1 Sol | medium | 84.7% | $0.0079 |
| GPT-6.1 Sol | high | 85.8% | $0.0088 |
| GPT-6.1 Sol | xhigh | 85.8% | $0.01 |
| GPT-6.1 Sol | max | 86.3% | $0.013 |
| GPT-6 Astra | low | 85.3% | $0.038 |
| GPT-6 Astra | medium | 85.3% | $0.039 |
| GPT-6 Astra | high | 86.4% | $0.044 |
| GPT-6 Astra | xhigh | 86.5% | $0.051 |
| GPT-6 Astra | max | 86.7% | $0.065 |
| GPT-6 Luna | low | 73.5% | $0.00049 |
| GPT-6 Luna | medium | 75.1% | $0.00061 |
| GPT-6 Luna | high | 76.5% | $0.00074 |
| GPT-6 Luna | xhigh | 77.9% | $0.00095 |
| GPT-6 Luna | max | 79.9% | $0.0021 |
- Exact score and cost values from the chart data embedded in OpenAI's announcement.
OSWorld 2.1 (offline set)
Score against cost · reported by OpenAI on 26 Oct 2026 · exact values
Multistep tasks completed by agents using desktop apps, such as building a 3D model from a technical drawing.
- GPT-6.1 Terra
- GPT-5.6 Terra
- GPT-6.1 Sol
- GPT-6 Astra
- GPT-6 Luna
- Claude Sonnet 5.5
Show data table
| Model | Effort | Score (%) | Cost per task |
|---|---|---|---|
| GPT-6.1 Terra | low | 53.8% | $0.36 |
| GPT-6.1 Terra | medium | 66.7% | $0.50 |
| GPT-6.1 Terra | high | 68.7% | $0.51 |
| GPT-6.1 Terra | xhigh | 71.3% | $0.62 |
| GPT-6.1 Terra | max | 74.2% | $1.19 |
| GPT-5.6 Terra | low | 24.1% | $0.44 |
| GPT-5.6 Terra | medium | 27.4% | $0.59 |
| GPT-5.6 Terra | high | 37.7% | $1.19 |
| GPT-5.6 Terra | xhigh | 48.4% | $2.25 |
| GPT-5.6 Terra | max | 57.1% | $4.76 |
| GPT-6.1 Sol | low | 60.9% | $0.38 |
| GPT-6.1 Sol | medium | 73.5% | $0.65 |
| GPT-6.1 Sol | high | 75.5% | $0.90 |
| GPT-6.1 Sol | xhigh | 75.9% | $0.95 |
| GPT-6.1 Sol | max | 78% | $1.15 |
| GPT-6 Astra | low | 63.3% | $2.32 |
| GPT-6 Astra | medium | 75.4% | $4.37 |
| GPT-6 Astra | high | 78.3% | $5.76 |
| GPT-6 Astra | xhigh | 79% | $6.60 |
| GPT-6 Astra | max | 80.9% | $8.17 |
| GPT-6 Luna | low | 7.5% | $0.02 |
| GPT-6 Luna | medium | 26.3% | $0.079 |
| GPT-6 Luna | high | 39.7% | $0.14 |
| GPT-6 Luna | xhigh | 44.6% | $0.19 |
| GPT-6 Luna | max | 55.5% | $0.30 |
| Claude Sonnet 5.5 | low | 57.8% | $0.68 |
| Claude Sonnet 5.5 | medium | 65.9% | $0.93 |
| Claude Sonnet 5.5 | high | 73.3% | $1.39 |
| Claude Sonnet 5.5 | xhigh | 81% | $2.22 |
| Claude Sonnet 5.5 | max | 83.9% | $5.74 |
- Exact score and cost values from the chart data embedded in OpenAI's announcement.
Factual error rate on difficult prompts
Error rate against cost · reported by OpenAI on 26 Oct 2026 · exact values
Answers containing at least one factual error on deliberately difficult prompts. Lower is better.
- GPT-6.1 Terra
- GPT-5.6 Terra
- GPT-6.1 Sol
- GPT-6 Astra
- GPT-6 Luna
Show data table
| Model | Effort | Answers with any factual error (%) | Cost per task |
|---|---|---|---|
| GPT-6.1 Terra | low | 16.7% | $0.024 |
| GPT-6.1 Terra | medium | 10.1% | $0.029 |
| GPT-6.1 Terra | high | 7.7% | $0.036 |
| GPT-6.1 Terra | xhigh | 5% | $0.05 |
| GPT-6.1 Terra | max | 4.3% | $0.12 |
| GPT-5.6 Terra | low | 53.6% | $0.055 |
| GPT-5.6 Terra | medium | 51.5% | $0.061 |
| GPT-5.6 Terra | high | 41.1% | $0.078 |
| GPT-5.6 Terra | xhigh | 33.9% | $0.11 |
| GPT-5.6 Terra | max | 22.3% | $0.25 |
| GPT-6.1 Sol | low | 14.7% | $0.048 |
| GPT-6.1 Sol | medium | 12% | $0.056 |
| GPT-6.1 Sol | high | 6.6% | $0.079 |
| GPT-6.1 Sol | xhigh | 5.5% | $0.099 |
| GPT-6.1 Sol | max | 4.4% | $0.12 |
| GPT-6 Astra | low | 13.3% | $0.26 |
| GPT-6 Astra | medium | 9.7% | $0.29 |
| GPT-6 Astra | high | 5.9% | $0.43 |
| GPT-6 Astra | xhigh | 4.6% | $0.55 |
| GPT-6 Astra | max | 4.2% | $0.66 |
| GPT-6 Luna | low | 44.3% | $0.0025 |
| GPT-6 Luna | medium | 31.2% | $0.0035 |
| GPT-6 Luna | high | 27.6% | $0.0047 |
| GPT-6 Luna | xhigh | 24.5% | $0.0061 |
| GPT-6 Luna | max | 18.4% | $0.013 |
- Exact score and cost values from the chart data embedded in OpenAI's announcement.
- Prompts are de-identified conversations where users flagged an earlier model error. They are not representative of typical usage.
Terminal-Bench 4.0
Score against cost · reported by OpenAI on 26 Oct 2026 · exact values
Coding agents solving problems from the command line, such as fixing a webpage whose layout shifts as it loads.
- GPT-6.1 Terra
- GPT-5.6 Terra
- GPT-6.1 Sol
- GPT-6 Astra
- Claude Sonnet 5.5
Show data table
| Model | Effort | Score (%) | Cost per task |
|---|---|---|---|
| GPT-6.1 Terra | low | 24.8% | $0.24 |
| GPT-6.1 Terra | medium | 35.8% | $0.46 |
| GPT-6.1 Terra | high | 41.8% | $0.65 |
| GPT-6.1 Terra | xhigh | 46.4% | $0.99 |
| GPT-6.1 Terra | max | 50.3% | $1.84 |
| GPT-5.6 Terra | max | 21.5% | $5.25 |
| GPT-6.1 Sol | low | 47.1% | $0.76 |
| GPT-6.1 Sol | medium | 52.7% | $1.02 |
| GPT-6.1 Sol | high | 53% | $1.28 |
| GPT-6.1 Sol | xhigh | 53.4% | $1.28 |
| GPT-6.1 Sol | max | 55.9% | $1.98 |
| GPT-6 Astra | low | 50.6% | $4.93 |
| GPT-6 Astra | medium | 54.4% | $6.06 |
| GPT-6 Astra | high | 58.1% | $7.18 |
| GPT-6 Astra | xhigh | 57.9% | $7.45 |
| GPT-6 Astra | max | 58.2% | $10.3 |
| Claude Sonnet 5.5 | low | 20% | $0.62 |
| Claude Sonnet 5.5 | medium | 28.8% | $0.68 |
| Claude Sonnet 5.5 | high | 43% | $1.46 |
| Claude Sonnet 5.5 | xhigh | 61.5% | $4.34 |
| Claude Sonnet 5.5 | max | 70.6% | $10.4 |
- Exact score and cost values from the chart data embedded in OpenAI's announcement.
- GPT-5.6 Terra is shown at its published max-effort score only.
Terminal-Bench Science 0.1
Score against cost · reported by OpenAI on 26 Oct 2026 · exact values
Scientific research tasks completed through a terminal, such as tracking cell divisions in a time-lapse video.
- GPT-6.1 Terra
- GPT-6.1 Sol
- GPT-6 Astra
- Claude Opus 5.5 with fallbacks
Show data table
| Model | Effort | Score (%) | Cost per task |
|---|---|---|---|
| GPT-6.1 Terra | low | 24.3% | $0.47 |
| GPT-6.1 Terra | medium | 34.3% | $0.95 |
| GPT-6.1 Terra | high | 39.7% | $1.24 |
| GPT-6.1 Terra | xhigh | 43.4% | $1.72 |
| GPT-6.1 Terra | max | 58.3% | $4.15 |
| GPT-6.1 Sol | low | 43.7% | $1.79 |
| GPT-6.1 Sol | medium | 47.6% | $2.34 |
| GPT-6.1 Sol | high | 51.1% | $2.76 |
| GPT-6.1 Sol | xhigh | 53.7% | $2.89 |
| GPT-6.1 Sol | max | 57% | $5.47 |
| GPT-6 Astra | low | 55.4% | $11.4 |
| GPT-6 Astra | medium | 57.4% | $12.3 |
| GPT-6 Astra | high | 62% | $14.9 |
| GPT-6 Astra | xhigh | 60.9% | $15.8 |
| GPT-6 Astra | max | 68.1% | $23.8 |
| Claude Opus 5.5 with fallbacks | max | 63.3% | $23.2 |
- Exact score and cost values from the chart data embedded in OpenAI's announcement.
- Opus 5.5 results use fallback models as reported by OpenAI; these are not standalone Opus 5.5 results.