By the toolist.ai editors. Researched from public sources, not hands-on tested by toolist.ai. Updated October 6, 2026; prices checked October 6, 2026.

GPT-6.1 Sol: price, context window and benchmarks

GPT-6.1 Sol is OpenAI's mid-tier GPT-6 model, at $2 per million input tokens and $10 per million output tokens, one fifth of GPT-6 Astra's price. OpenAI pitches it as close to Astra on coding and professional work, and Artificial Analysis puts it at 51.8 on its Intelligence Index against Astra's 52.7.

Best for

Key facts

FactGPT-6.1 SolSource
ProviderOpenAIOpenAI API docs: Pricing
API model namegpt-6.1-solOpenAI API docs: GPT-6.1 Sol
ReleasedSeptember 29, 2026OpenAI API docs: Changelog
Input price$2 per million tokensOpenAI API docs: Pricing
Cached input price$0.10 per million tokensOpenAI API docs: Pricing
Output price$10 per million tokensOpenAI API docs: Pricing
Context window1,050,000 tokensOpenAI API docs: GPT-6.1 Sol
Maximum output128,000 tokensOpenAI API docs: GPT-6.1 Sol
Knowledge cutoffApril 30, 2026OpenAI API docs: GPT-6.1 Sol
Input and outputText and images in; text outOpenAI API docs: GPT-6.1 Sol
ReasoningAlways reasons. Effort levels low to max; medium is the defaultOpenAI API docs: Reasoning models
API and cloud platformsOpenAI API (Responses, Chat Completions and Batch)OpenAI API docs: GPT-6.1 Sol
In the appsChatGPT Plus, Pro, Business, Enterprise and Edu, in ChatGPT Work and CodexChatGPT docs: Models

Prompts over 272,000 input tokens are billed at twice the input rate and 1.5 times the output rate for the whole request. Batch and Flex processing cost half; Fast mode costs double.

What GPT-6.1 Sol costs a month

Three typical workloads, priced at the standard API rates above. We calculated these; the provider does not publish them.

WorkloadTokens a monthCost a month
Support chatbot
100,000 replies, each 3,000 input and 400 output tokens, no caching
300M in, 40M out $1,000
Document Q&A
5,000 questions over the same 60,000-token document set (90% cache hits), 800 output tokens each
300M in, 4M out $127
Coding agent
200 tasks, each 1.5 million input tokens (90% cache hits) and 50,000 output tokens
300M in, 10M out $187

Reasoning models bill their thinking as output tokens, so heavy reasoning can raise the output count several times. Cache-write charges are not included.

Benchmarks

BenchmarkScoreSource
Artificial Analysis Intelligence Index
max effort
51.8 Artificial Analysis: GPT-6.1 Sol (max)
Intelligence Index at everyday effort
medium effort, the API default
47.8 Artificial Analysis: GPT-6.1 Sol (medium)
Coding Agent Index
Codex harness, max effort
60.1 Artificial Analysis: Coding agents
Terminal-Bench 4.0
max effort
56.1% Artificial Analysis: GPT-6.1 Sol vs GPT-6 Astra
Humanity's Last Exam
max effort
52.9% Artificial Analysis: GPT-6.1 Sol vs GPT-6 Astra
GDPval-AA v2.1 (Elo)
max effort
1575 Artificial Analysis: GPT-6.1 Sol vs GPT-6 Astra
SciCode
max effort
54.2% Artificial Analysis: GPT-6.1 Sol vs GPT-6 Astra
Terminal-Bench-Science 0.1
max effort
58.1% Artificial Analysis: GPT-6.1 Sol (max)

Speed: about 48.8 output tokens a second, 6.2 seconds to the first token (medium effort, OpenAI API; Artificial Analysis: GPT-6.1 Sol (medium)).

Benchmark and speed data marked as such come from Artificial Analysis.

What changed

Compared with GPT-6 Sol, released a week earlier, input and output prices stay at $2 and $10 per million tokens, cached input drops from $0.20 to $0.10, the knowledge cutoff moves from April 20 to April 30, 2026, and the "none" reasoning effort is gone. Artificial Analysis measures a higher Intelligence Index (51.8 against 47.6) but slower output (59 against 100 tokens a second at max effort). (OpenAI API docs: GPT-6.1 Sol vs GPT-6 Sol)

GPT-6.1 Sol compared

Other models

All prices side by side: AI model API price table. How we research: our method.

Sources