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Models · Reasoning

GPT-6.1 Sol

by OpenAI

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series.

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Our verdict

Not reviewed yet

We have not reviewed GPT-6.1 Sol yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About GPT-6.1 Sol

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series.

Best for

Professional document and code work

Notes

GPT-6.1 Sol is listed in the EDNA Models directory from the OpenRouter catalogue.

Pros

  • Reconciling specifications and implementation details
  • file, image, text input; text output on the listed OpenRouter route

Cons

  • Assuming chat app features are automatically present in the API
  • Estimating long-context jobs from the base rate alone
  • Catalogue base token rates have additional pricing overrides. Context length, time window, caching, reasoning, tools or media can change total cost; the simple calculator is not a full quote.

Key facts

What we have checked

Input price
$2.00 per million tokens
Checked OpenRouter models API
Output price
$10.00 per million tokens
Checked OpenRouter models API
Price on amazon-bedrock
$0.100 per million cached input tokens
Checked OpenRouter models API
Price on amazon-bedrock
$2.00 per million input tokens
Checked OpenRouter models API
Price on amazon-bedrock
$10.00 per million output tokens
Checked OpenRouter models API
Price on azure
$0.100 per million cached input tokens
Checked OpenRouter models API
Price on azure
$2.00 per million input tokens
Checked OpenRouter models API
Price on azure
$10.00 per million output tokens
Checked OpenRouter models API
Price on openai
$0.050 per million cached input tokens
Checked OpenRouter models API
Gpqa diamond
95.4% (for 29 Sept 2026)
Checked Epoch AI (CC BY 4.0)
Frontiermath tiers 1 3 v2 private
93.7% (for 29 Sept 2026)
Checked Epoch AI (CC BY 4.0)
Simpleqa verified
73.9% (for 29 Sept 2026)
Checked Epoch AI (CC BY 4.0)

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

API access

How to call it

Call via OpenRouter with model id `openai/gpt-6.1-sol`.

  • openrouter · openai/gpt-6.1-sol · Docs

OpenRouter id: openai/gpt-6.1-sol

Price

What GPT-6.1 Sol costs, over time

Input price

$2.00 to $2.00

US dollars per million input tokens. 30 Sept 2026 to 10 Nov 2026, 33 days.

Source: OpenRouter models API. Checked .

Output price

$10.00 to $10.00

US dollars per million output tokens. 30 Sept 2026 to 10 Nov 2026, 33 days.

Source: OpenRouter models API. Checked .

Prices by host

HostPriceOver timeChecked
amazon-bedrockCached input$0.100 per million cached input tokensSince 30 Oct 20261 changeOpenRouter models API
amazon-bedrockInput$2.00 per million input tokensSince 30 Oct 20261 changeOpenRouter models API
amazon-bedrockOutput$10.00 per million output tokensSince 30 Oct 20261 changeOpenRouter models API
azureCached input$0.100 per million cached input tokensSince 24 Oct 2026No change recordedOpenRouter models API
azureInput$2.00 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
azureOutput$10.00 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API
openaiCached input$0.050 per million cached input tokensSince 24 Oct 2026No change recordedOpenRouter models API
openaiInput$1.00 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
openaiOutput$5.00 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API

Usage

How much GPT-6.1 Sol is used

Tokens served a day

18.7B to 665.3B

tokens a day on OpenRouter. 29 Sept 2026 to 10 Nov 2026, 43 readings.

Source: OpenRouter model activity (748 of 748 series). Checked .

Scores

How GPT-6.1 Sol scores

Each score comes from the named source and shows when we last confirmed it. A flag means the score needs care.

ScoreValueSourceChecked
Artificial Analysis Intelligence Index54.6indexAs of 10 Nov 2026Artificial Analysis via OpenRouter
LMArena text rating (Elo)1,446EloAs of 10 Nov 2026LMArena (CC-BY-4.0), published 2026-11-09
LMArena web development rating (Elo)1,743EloAs of 10 Nov 2026LMArena (CC-BY-4.0), published 2026-11-09
LMArena vision rating (Elo)1,286EloAs of 10 Nov 2026LMArena (CC-BY-4.0), published 2026-11-09
Design Arena rating (Elo)1,424EloAs of 10 Nov 2026Design Arena via OpenRouter
Apex agents (best-across-versions)60percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Arc agi (best-across-versions)98.5percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Arc agi 2 (best-across-versions)94.2percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Chess puzzles (best-across-versions)68percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Dtbench (best-across-versions)96.5percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Ebr bench (best-across-versions)54.3percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Frontiercode (best-across-versions)50.2percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Show 11 more scores
ScoreValueSourceChecked
Frontiermath tier 4 v2 private (best-across-versions)100percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Frontiermath tiers 1 3 v2 private (best-across-versions)93.7percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Furniture assembly (best-across-versions)80percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Gpqa diamond (best-across-versions)95.4percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Lmca (best-across-versions)62.8percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Mystery game puzzles (best-across-versions)80percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Otis mock aime 2024 2025 (best-across-versions)Saturated100percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Proofbench (best-across-versions)99percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Simpleqa verified (best-across-versions)73.9percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Spireclimb (best-across-versions)24.7percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Weirdml v3 (best-across-versions)50.6percentAs of 29 Sept 2026Epoch AI (CC BY 4.0)
Saturated
Top models score close to the maximum, so this test no longer separates them.

Sources

Where this comes from

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Price changed

    cached input per mtok: 0.11 to 0.1

    Source: OpenRouter models API

  2. Price changed

    output per mtok: 11 to 10

    Source: OpenRouter models API

  3. Price changed

    input per mtok: 2.2 to 2

    Source: OpenRouter models API

USAGE / OPENROUTER

How much GPT-6.1 Sol is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
4.1T ▲0.9%
Requests, last 7 days
115M
Tool calls, last 7 days
40.6M
Intelligence score
54.6
People's vote
1446
Average cost per request
$2.37
Price per million tokens
$2 in · $10 out
01T2T29 Sept: 18.7B tokens, 403K requests30 Sept: 105B tokens, 3.2M requests1 Oct: 153B tokens, 3.2M requests2 Oct: 172B tokens, 3.3M requests3 Oct: 136B tokens, 2.6M requests4 Oct: 146B tokens, 2.8M requests5 Oct: 197B tokens, 3.7M requests6 Oct: 253B tokens, 5.3M requests7 Oct: 346B tokens, 7.2M requests8 Oct: 312B tokens, 7.4M requests9 Oct: 459B tokens, 9.7M requests10 Oct: 296B tokens, 7.1M requests11 Oct: 264B tokens, 6M requests12 Oct: 302B tokens, 6.2M requests13 Oct: 346B tokens, 8.8M requests14 Oct: 326B tokens, 7.2M requests15 Oct: 296B tokens, 6.8M requests16 Oct: 294B tokens, 8M requests17 Oct: 195B tokens, 4.9M requests18 Oct: 175B tokens, 6M requests19 Oct: 268B tokens, 5.5M requests20 Oct: 340B tokens, 7.3M requests21 Oct: 412B tokens, 8.2M requests22 Oct: 457B tokens, 8.4M requests23 Oct: 564B tokens, 9.5M requests24 Oct: 490B tokens, 7.7M requests25 Oct: 284B tokens, 6.3M requests26 Oct: 371B tokens, 9.1M requests27 Oct: 383B tokens, 8.4M requests28 Oct: 531B tokens, 11.2M requests29 Oct: 1.1T tokens, 21.9M requests30 Oct: 535B tokens, 12.5M requests31 Oct: 372B tokens, 15.4M requests1 Nov: 425B tokens, 26.9M requests2 Nov: 551B tokens, 29.3M requests3 Nov: 506B tokens, 16.3M requests4 Nov: 594B tokens, 23.5M requests5 Nov: 642B tokens, 21M requests6 Nov: 671B tokens, 18.7M requests7 Nov: 556B tokens, 13.4M requests8 Nov: 482B tokens, 12.9M requests9 Nov: 480B tokens, 13.6M requests10 Nov: 665B tokens, 11.5M requests29 Sept13 Oct27 Oct10 NovSee where it ranks on the leaderboard →

MODEL FIELD GUIDE / SOURCE EVIDENCE

What you can do with GPT-6.1 Sol.

Specifications reviewed; no EDNA task evaluation has been run. Sources checked 2026-11-07. Hosting routes and app features can differ.

DeveloperOpenAI
Exact model identifieropenai/gpt-6.1-sol
Inputfile, image, text
Outputtext
Tool calling
Listed support
Structured output
Listed support
Reasoning controls
Listed support
Availability
available
Price basis
token
Licence verification
Check the developer licence; the model name is insufficient
Context length
1.1M tokens
Knowledge cutoff
Not established
Developer release date
Not established
First seen in the catalogue
29 Sept 2026
Listed retirement date
Not established

Catalogue base token rates have additional pricing overrides. Context length, time window, caching, reasoning, tools or media can change total cost; the simple calculator is not a full quote.

Consider it for

  • Reconciling specifications and implementation details
  • Producing reviewable analysis from supplied records

Watch for

  • Assuming chat app features are automatically present in the API
  • Estimating long-context jobs from the base rate alone

PRACTICAL EXERCISE / NOT RUN BY ENTERPRISE DNA

Try the model on a small, checkable task.

Compare policy A: expenses require approval above 100 with policy B: approval is required at 100 or more. Give the boundary cases and a corrected rule with no invented exemptions.

Check the result: The answer identifies that exactly 100 changes outcome and distinguishes source text from its proposal.

Compare another approach

anthropic claude sonnet 5 5 ↗google gemini 3 8 flash ↗
Inspect the sources and their scope
provider source ↗

Developer documentation for model family or task. OpenRouter route-specific properties remain catalogue claims; EDNA has not executed a task evaluation.

Checked 2026-10-19
catalogue source ↗

openai/gpt-6.1-sol: listed route capabilities, availability and prices; provider endpoints can differ.

Checked 2026-11-07
openrouter.ai ↗

Source for reasoning controls, first seen, tool calling, context length, input, output, structured output.

Checked 2026-11-07
How to evaluate a model for your work →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Write a clear business documentWorkflow & starter prompt ↗Analyse a spreadsheetWorkflow & starter prompt ↗Research a companyWorkflow & starter prompt ↗Extract document dataWorkflow & starter prompt ↗Run a reliable agentWorkflow & starter prompt ↗

What would it cost?

Pick a common job and how many times a month you run it. Token sizes are our assumption for a typical run, shown under the result.

Working out the cost...

Token prices only. Per-request, image, tool, storage and subscription fees are not included. One token is about three quarters of an English word. Real counts vary by model and language. How tokens are counted ↗

Check the source

Price date: 10 Nov 2026, from OpenRouter models API. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 54.6 (2026-11-09) ↗Vals Index: 63.944 (2026-11-09) ↗Design Arena: 1426 (2026-11-09) ↗
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