GPT-6 Sol
OpenAIKey gpt-6-solAlso reported as cx/gpt-6-sol, router_client:codex/gpt-6-sol, chatgpt-web/gpt-6-sol, gpt/gpt-6-sol, openai/gpt-6-sol, tt-token/gpt-6-sol, codex/gpt-6-sol, devin/gpt-6-sol, router_client:claude/gpt-6-sol, auto/gpt-6-sol, router_client:unknown/gpt-6-sol
- Rank
- #10
- by active users
- Active users
- 239
- Down 361 from 600 active users in the previous 30 days. vs previous 30 days
- Adoption
- 25%
- of 956 accounts
- Tokens
- 154B
- cache included
- Est. cost
- $44.8K
- at public list prices
- First seen
- Jul 7, 2026
- in any submission
Oct 15 – Nov 13, 2026 (UTC)956 accounts100% of tokens from an identified modelData through Nov 13, 2026, 01:06 UTCHow we count
Daily active users
Distinct accounts that used this model on each UTC day.
1 active users on Nov 13, 2026
Show daily values
| Date (UTC) | Active users | Tokens |
|---|---|---|
| Oct 15, 2026 | 83 | 11.9B |
| Oct 16, 2026 | 71 | 6B |
| Oct 17, 2026 | 51 | 10.8B |
| Oct 18, 2026 | 48 | 8.6B |
| Oct 19, 2026 | 60 | 6.3B |
| Oct 20, 2026 | 63 | 4.5B |
| Oct 21, 2026 | 62 | 5B |
| Oct 22, 2026 | 55 | 5.2B |
| Oct 23, 2026 | 59 | 3.5B |
| Oct 24, 2026 | 42 | 7.2B |
| Oct 25, 2026 | 36 | 2.7B |
| Oct 26, 2026 | 55 | 8.9B |
| Oct 27, 2026 | 54 | 7B |
| Oct 28, 2026 | 47 | 3.3B |
| Oct 29, 2026 | 48 | 4.7B |
| Oct 30, 2026 | 32 | 4.5B |
| Oct 31, 2026 | 23 | 2.8B |
| Nov 1, 2026 | 24 | 7.6B |
| Nov 2, 2026 | 36 | 3.1B |
| Nov 3, 2026 | 38 | 6B |
| Nov 4, 2026 | 35 | 5.9B |
| Nov 5, 2026 | 32 | 3.3B |
| Nov 6, 2026 | 29 | 4.3B |
| Nov 7, 2026 | 26 | 3.8B |
| Nov 8, 2026 | 18 | 5.5B |
| Nov 9, 2026 | 21 | 7.4B |
| Nov 10, 2026 | 22 | 3B |
| Nov 11, 2026 | 25 | 492.9M |
| Nov 12, 2026 | 15 | 538.4M |
| Nov 13, 2026 | 1 | 1.8M |
Token mix
How the 154B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.
- Input1.8%
- Output0.2%
- Cache read98%
- Cache write<0.1%
- Reasoning<0.1%
Agents that carry GPT-6 Sol
Each agent's share of this model's tokens, and how many accounts used the model through it.
Codex CLI92% of this model's tokens187active users
Senpi (OmO Native)5.0% of this model's tokens16active users
Pi0.9% of this model's tokens10active users
Gajae Code0.4% of this model's tokens3active users
OpenCode0.3% of this model's tokens10active users
Oh My Pi0.3% of this model's tokens11active users
Aside0.3% of this model's tokens4active users
Hermes Agent0.2% of this model's tokens10active users
Claude Code0.1% of this model's tokens6active users
OpenClaw<0.1% of this model's tokens1active users
Cline<0.1% of this model's tokens1active users
Prime Agent<0.1% of this model's tokens1active users
DeepSeek Harness<0.1% of this model's tokens3active users
Junie<0.1% of this model's tokens1active users
Droid<0.1% of this model's tokens1active users
Synthetic<0.1% of this model's tokens1active users- cc-mirror/curl<0.1% of this model's tokens1active users
- cc-mirror/mozilla<0.1% of this model's tokens1active users
9Router<0.1% of this model's tokens1active users
Benchmarks
The best result for GPT-6 Sol in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark. Agent rows also show Tokscale usage through that agent, side by side with the score. Usage does not explain the score.
- Epoch Capabilities IndexOverall · Epoch AI163.8
Epoch Capabilities Index: 163.8
- Model
- GPT-6 Sol
- Listed as
- GPT-6 Sol
- Conditions
- Not reported
- Interval
- 161.3–166.4
- Unit
- ECI
- Model released
- Sep 22, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #12 of 158 matched modelsNo conditions reportedModel released Sep 22, 2026Source: epoch.ai (opens in a new tab) - Terminal-Bench 4.1Agentic coding · Terminal-Bench50.3%
Terminal-Bench 4.1: 50.3%
- Model
- GPT-6 Sol
- Listed as
- GPT-6 Sol
- Conditions
- Max · Codex
- Interval
- 47.1–53.5%
- Unit
- % resolved
- Published
- Nov 3, 2026
- Retrieved
- Nov 12, 2026
Source · Terminal-Bench 4.1 official leaderboard, tbench.ai
Tokscale usage: Codex CLI carried 92% of GPT-6 Sol tokens in the last 30 days (187 active users). - WebDev ArenaWeb development · LMArena1,683
WebDev Arena: 1,683
- Model
- GPT-6 Sol
- Listed as
- GPT-6 Sol (Max)
- Conditions
- Max
- Interval
- 1673–1693
- Unit
- Arena score
- Published
- Oct 19, 2026
- Retrieved
- Oct 21, 2026
Source · LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset on Hugging Face), CC BY 4.0
- Agent ArenaAgents · LMArena+0.09
Agent Arena: +0.09
- Model
- GPT-6 Sol
- Listed as
- GPT-6 Sol (Max)
- Conditions
- Max · Arena Agent Mode
- Interval
- 0.07 to 0.11
- Unit
- net improvement
- Published
- Oct 19, 2026
- Retrieved
- Oct 21, 2026
Source · LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset on Hugging Face), CC BY 4.0
Rank #7 of 48 matched modelsMax · Arena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab) - GPQA DiamondReasoning · Epoch AI94.3%
GPQA Diamond: 94.3%
- Model
- GPT-6 Sol
- Listed as
- gpt-6-sol_max
- Conditions
- Max
- Unit
- % correct
- Run date
- Sep 22, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Near its ceiling: the top score is 96.5%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.
- FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI89.8%
FrontierMath Tiers 1–3 (v2): 89.8%
- Model
- GPT-6 Sol
- Listed as
- gpt-6-sol_max
- Conditions
- Max
- Unit
- % solved
- Run date
- Sep 22, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Near its ceiling: the top score is 95.1%, and Epoch AI estimates the reachable maximum at 95%. Differences between top models are small.
- SimpleQA VerifiedKnowledge · Epoch AI60.7%
SimpleQA Verified: 60.7%
- Model
- GPT-6 Sol
- Listed as
- gpt-6-sol_max
- Conditions
- Max
- Unit
- % correct
- Run date
- Sep 22, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Pricing
List prices from models.dev in US dollars per 1M tokens, retrieved Nov 12, 2026. OpenAI is the lab's own API and the reference price for the estimates below.
Price at real agent usageEstimate at list prices
What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.
- At this model's mix
- $0.26
- Est. per 1M tokens
98% cache reads - At the community mix
- $0.31
- Est. per 1M tokens
96% cache reads - 3:1 input/output blend
- $4
- Per 1M tokens at list prices
No cache
Cache reads were 98% of GPT-6 Sol tokens in the last 30 days and 96% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.
Assumptions
- OpenAI list prices per 1M tokens: input $2, output $10, cache read $0.20, cache write $2.50.
- This model's mix is its own input, output, cache and reasoning tokens in the last 30 days.
- The community mix is the tokens of every identified model in the last 30 days.
- This is an estimate at list prices, not what anyone paid.
- Reasoning tokens are priced as output.
- Long-context tiers, batch pricing and discounts are not applied.
- Token mixes come from public Tokscale submissions. Hidden accounts are excluded.
List prices by provider
- OpenAIReference
gpt-6-sol$2 input per 1M tokens$10 output per 1M tokens$0.20 cache read per 1M tokens$2.50 cache write per 1M tokens1.05M tokens of context - Amazon Bedrock
openai.gpt-6-sol$2.20 input per 1M tokens$11 output per 1M tokens$0.22 cache read per 1M tokens$2.75 cache write per 1M tokens1.05M tokens of context - Azure
gpt-6-sol$2 input per 1M tokens$10 output per 1M tokens$0.20 cache read per 1M tokens$2.50 cache write per 1M tokens1.05M tokens of context - OpenRouter
openai/gpt-6-sol$2 input per 1M tokens$10 output per 1M tokens$0.20 cache read per 1M tokens$2.50 cache write per 1M tokens1.05M tokens of context - Vercel AI Gateway
openai/gpt-6-sol$2 input per 1M tokens$10 output per 1M tokens$0.20 cache read per 1M tokens$2.50 cache write per 1M tokens1.05M tokens of context
Specs
From models.dev (MIT), retrieved Nov 12, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.
- Context window
- 1.05M tokens
- Max output
- 128K tokens
- Input
- Text, Image, PDF
- Output
- Text
- Knowledge cutoff
- Apr 20, 2026
- Release date
- Sep 22, 2026
- Open weights
- No
- Reasoning
- Yes
- Tool calling
- Yes
Top public profiles
Public profiles that used GPT-6 Sol most in this period, by tokens. Hidden accounts are never listed.
- 1
Wooseok Sung@MercuriusDream32.7Btokens$8.6Kest. cost18active days$8.6K est. cost · 18 active days
- 2
drscorpion7@drscorpion717.7Btokens$4.3Kest. cost23active days$4.3K est. cost · 23 active days
- 3
Khaliq@khaliqgant7.4Btokens$1.7Kest. cost14active days$1.7K est. cost · 14 active days
- 4
Henrik@henrigkroine6.4Btokens$1.6Kest. cost2active days$1.6K est. cost · 2 active days
- 5
nubs@NubsCarson6.2Btokens$3.7Kest. cost3active days$3.7K est. cost · 3 active days
- 6
Saadmak4@Saadmak45.6Btokens$1.3Kest. cost5active days$1.3K est. cost · 5 active days
- 7
Yoginth@bigint5.6Btokens$1.3Kest. cost5active days$1.3K est. cost · 5 active days
- 8
Sigyu@sigyulee5.4Btokens$2.7Kest. cost11active days$2.7K est. cost · 11 active days
- 9
Shun Kakinoki@shunkakinoki4.7Btokens$1.5Kest. cost10active days$1.5K est. cost · 10 active days
- 10
Lee Taeyong@GunP4ng3.8Btokens$1Kest. cost4active days$1K est. cost · 4 active days
More from OpenAI
Other OpenAI models in the same period, by active users.
- GPT-6.1 Sol69% adoption664active users
- GPT-6 Astra59% adoption565active users
- GPT-6 Luna45% adoption429active users
- Codex Auto Review30% adoption288active users
- GPT-6.1 Terra29% adoption278active users
- GPT-5.6 Sol23% adoption216active users
Sources and attribution
Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.