How much does GPT-6 Sol cost?

GPT-6 Sol costs $2.00 per million input tokens and $10.00 per million output tokens, using the list price from OpenAI as of 26 Oct 2026. That is about $0.70 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.

What is the context window of GPT-6 Sol?

GPT-6 Sol has a context window of 922K tokens, roughly 692,000 words of text read at once. A single answer can be up to 128K tokens long.

Is GPT-6 Sol open source?

We list GPT-6 Sol as closed: it is used through its maker's apps or API and its weights are not published (Epoch AI lists its access as "API access").

How good is GPT-6 Sol compared with other AI models?

On the Epoch Capabilities Index, GPT-6 Sol scores 163.7 (likely range 160.9 to 167.4), which ranks 8 of 270 models we track. On Arena's human-vote text board it is ranked 53 of 166. Scores close together are a tie in practice.

How does GPT-6 Sol compare with Claude Opus 5?

Claude Opus 5 scores higher on 2 of 10 shared quality measures, GPT-6 Sol on 1. 7 measures are too close to call. GPT-6 Sol costs about 60% less than Claude Opus 5 on a blended price of $4.00 against $10.00 per million tokens. See the full comparison for every measure.

How current are these numbers for GPT-6 Sol?

The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.

AI Rankings

GPT-6 Sol: Score, Price and Context Window

Where GPT-6 Sol from OpenAI ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated 26 Oct 2026

OpenAI
Closed weights
Released Sep 2026

Its score range overlaps with Claude Opus 5, the model just above it, so a small gap in rank is not a meaningful difference.

Best for

Demanding tasks: its overall Epoch score is in the top 10% of models we track.
Building web pages and small apps: its Arena web development rating is in the top 10%.

These lines are worked out from the numbers on this page, not from hands-on testing.

Key facts

Overall score: 163.7; Rank 8 of 270. Likely range 160.9 to 167.4.
Human preference: chat: 1459; Rank 53 of 166. 14,707 votes, at the "Max" setting.
Human preference: coding: 1519; Rank 33 of 166. 3,371 votes, at the "Max" setting.
Human preference: web pages: 1681; Rank 7 of 85. 5,008 votes, at the "Max" setting.
Human preference: images: 1266; Rank 32 of 85. 3,221 votes, at the "Max" setting.
Price per million tokens: $2.00 in / $10.00 out; Blended $4.00. Cached input $0.20. List price from OpenAI, checked 26 Oct 2026.
Context window: 922K tokens; About 692,000 words at once. One answer up to 128K tokens.
Weights: Closed; Used through the maker's apps or API (Epoch AI: API access).

Features listed by the price list: Image input, PDF input, Tool use, Reasoning, Web search, Prompt caching, Structured output.

Try itChatGPT in our AI tools directoryOpenAI's AI assistant for writing, coding, research, file analysis, and connected work across chats and projects.

How GPT-6 Sol stacks up

Each strip shows every model we track as faint bars. The dot is this model. Better is always to the right, even for price.

GPT-6 Sol compared with all models we trackOverall capability: 163.7. Better than 97% of the other 269 models. Human preference: chat: 1459. Better than 68% of the other 165 models. Human preference: coding: 1519. Better than 80% of the other 165 models. Human preference: web pages: 1681. Better than 92% of the other 84 models. Human preference: images: 1266. Better than 63% of the other 84 models. Price: $4.00 per 1M. Cheaper than 22% of the other 200 priced models. Context window: 922K tokens. Larger context window than 67% of the other 198 models.

Overall capability163.7
Better than 97% of the other 269 modelsTop 10%
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1459
Better than 68% of the other 165 modelsUpper half
How often people pick its answers over another model's on Arena.
Human preference: coding1519
Better than 80% of the other 165 modelsTop 25%
How often people pick its answers to coding questions on Arena.
Human preference: web pages1681
Better than 92% of the other 84 modelsTop 10%
How often people pick the web pages and small apps it builds on Arena.
Human preference: images1266
Better than 63% of the other 84 modelsUpper half
How often people pick its answers about pictures on Arena.
Price$4.00 per 1M
Cheaper than 22% of the other 200 priced models
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window922K tokens
Larger context window than 67% of the other 198 modelsUpper half
How much text it can read at once. Bigger suits long documents.

Compared with the other published models that have each measure. Data updated 26 Oct 2026.

Where GPT-6 Sol ranks

Leaderboards it appears on, best placing first.

See all leaderboards

Test results

Each test checks one kind of skill. Place shows where it stands among the models that took that test.

OTIS Mock AIME
Maths competition problems in the style of the US AIME exam, from the 2024 and 2025 sets. Every answer is a whole number.
100.0%
Place 1 of 174
tied with 11 others
GPQA Diamond
Very hard multiple-choice science questions in biology, physics and chemistry, written by experts and designed so a quick web search does not give the answer.
94.3%
Place 9 of 183
FrontierMath (Tiers 1-3)
Original, very hard maths problems written by mathematicians. Each has an exact answer and the problems are kept private so models cannot have memorised them. This is the Tiers 1 to 3 set, version 2.
89.8%
Place 5 of 87
ARC-AGI-2
Visual puzzles where the AI must work out a new rule from a few examples and apply it. They test picking up a new idea quickly, not recalling facts.
89.6%
Place 8 of 86
SimpleQA Verified
Short factual questions that each have one correct answer. It measures how often a model gets facts right.
60.7%
Place 15 of 82

What it costs in everyday terms

List prices turned into amounts you can picture. Real bills depend on how you use it.

100 chats: $0.70; Cost of 100 chats assumes each chat sends 1,000 tokens (about 750 words) and gets 500 tokens (about 375 words) back.
A 300-page book: $0.20; Cost to read a 300-page book assumes about 100,000 input tokens and no reply. A real book varies with page size and language.
Blended price: $4.00 per 1M; Three parts input to one part output. Our own calculation for comparing models.

Similar models

Models from other makers with a similar overall score.

Learn more

Questions about GPT-6 Sol

How much does GPT-6 Sol cost?: GPT-6 Sol costs $2.00 per million input tokens and $10.00 per million output tokens, using the list price from OpenAI as of 26 Oct 2026. That is about $0.70 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.
What is the context window of GPT-6 Sol?: GPT-6 Sol has a context window of 922K tokens, roughly 692,000 words of text read at once. A single answer can be up to 128K tokens long.
Is GPT-6 Sol open source?: We list GPT-6 Sol as closed: it is used through its maker's apps or API and its weights are not published (Epoch AI lists its access as "API access").
How good is GPT-6 Sol compared with other AI models?: On the Epoch Capabilities Index, GPT-6 Sol scores 163.7 (likely range 160.9 to 167.4), which ranks 8 of 270 models we track. On Arena's human-vote text board it is ranked 53 of 166. Scores close together are a tie in practice.
How does GPT-6 Sol compare with Claude Opus 5?: Claude Opus 5 scores higher on 2 of 10 shared quality measures, GPT-6 Sol on 1. 7 measures are too close to call. GPT-6 Sol costs about 60% less than Claude Opus 5 on a blended price of $4.00 against $10.00 per million tokens. See the full comparison for every measure.
How current are these numbers for GPT-6 Sol?: The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.

Where this data comes from

Epoch AI: Benchmark data: Epoch AI, 'Capabilities & benchmarking', epoch.ai/benchmarks (CC BY 4.0). We match models across sources, rank them and show them in charts. Scores are not changed. Epoch AI does not endorse this site.
Arena (formerly LMArena): Human-preference ratings: Arena (arena.ai) leaderboard dataset, CC BY 4.0. We keep the latest published ratings, match them to models from other sources and rank them. Ratings are not changed. Arena does not endorse this site.
LiteLLM model price list: Prices and context windows: LiteLLM model price list (github.com/BerriAI/litellm, MIT licence). We use the model maker's own price entry when there is one. Prices change often, so always confirm on the maker's site before you buy.

Newest data on this page: 26 Oct 2026. Prices are list prices and change often, so confirm on the maker's site before you buy. Sponsors never change a score or an order. How we calculate this · Report a mistake