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text model comparison

GPT-6.1 Sol vs GPT-6 Sol

GPT-6.1 Sol and GPT-6 Sol are both current text models, from OpenAI. Both cost $2 per 1M input tokens. On Arena Text, GPT-6.1 Sol scores 1481 Elo and GPT-6 Sol 1458 Elo (Arena, measured October 28, 2026). Both accept 1,050,000 tokens of context.

Higher Arena Text
GPT-6.1 Sol1481 Elo against 1458 Elo
Newer release
GPT-6.1 SolSep 29, 2026 against Sep 22, 2026

Data verified November 3, 2026 · Dataset 2026-11-03

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Side by side

GPT-6.1 Sol and GPT-6 Sol, line by line

Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.

FactGPT-6.1 SolGPT-6 Sol
Price
Price per 1M input tokens$2$2
Price per 1M output tokens$10$10
Independent benchmarks
Arena Text1481 Elo (#16 of 51) (better)1458 Elo (#30 of 51)
Arena WebDev1751 Elo (#4 of 45) (better)1678 Elo (#9 of 45)
FrontierMath Tiers 1-3 (v2)93.7% (#1 of 42) (better)89.8% (#6 of 42)
GPQA Diamond95.4% (#4 of 41) (better)94.3% (#7 of 41)
SimpleQA Verified73.9% (#3 of 38) (better)60.7% (#13 of 38)
Specs
ProviderOpenAIOpenAI
Release dateSeptember 29, 2026September 22, 2026
AccessAPI onlyAPI only
Context window1,050,000 tokens1,050,000 tokens
Max output128,000 tokens128,000 tokens
Inputtext, imagetext, image
Outputtexttext

Scores:Arena · 2026-11-03Epoch AI · 2026-11-03

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Charts

Against every current text model

Where GPT-6.1 Sol and GPT-6 Sol land among the current models of their task, on every independent benchmark, on price and on context.

Where each stands

On Arena Text, GPT-6.1 Sol ranks #16 and GPT-6 Sol #30 of 51 current models. Each bar is the share of current models it beats: on score, price and context.

GPT-6.1 Sol and GPT-6 Sol among the current text models, one row per benchmark, price and context window.

Independent benchmarks

Arena Text

GPT-6.1 Sol:#16of 51

1,481 Elo · ahead of 68%

GPT-6 Sol:#30of 51

1,458 Elo · ahead of 42%

Arena WebDev

GPT-6.1 Sol:#4of 45

1,751 Elo · ahead of 93%

GPT-6 Sol:#9of 45

1,678 Elo · ahead of 82%

FrontierMath Tiers 1-3 (v2)

GPT-6.1 Sol:#1of 42

93.7% · ahead of 98%

GPT-6 Sol:#6of 42

89.8% · ahead of 88%

GPQA Diamond

GPT-6.1 Sol:#4of 41

95.4% · ahead of 90%

GPT-6 Sol:#7of 41

94.3% · ahead of 83%

SimpleQA Verified

GPT-6.1 Sol:#3of 38

73.9% · ahead of 95%

GPT-6 Sol:#13of 38

60.7% · ahead of 68%

Price and context

Price per 1M input tokens

GPT-6.1 Sol:#29of 52

$2 · cheaper than 24%

GPT-6 Sol:#29of 52

$2 · cheaper than 24%

Price per 1M output tokens

GPT-6.1 Sol:#34of 52

$10 · cheaper than 25%

GPT-6 Sol:#34of 52

$10 · cheaper than 25%

Context window

GPT-6.1 Sol:#1of 64

1.05M tokens · longer than 86%

GPT-6 Sol:#1of 64

1.05M tokens · longer than 86%

Quality against price

Arena Text · measured October 28, 2026

GPT-6.1 Sol scores 1,481 at $4; GPT-6 Sol scores 1,458 at $4 (blended price per 1M tokens). The line joins the current models no other beats on both price and Arena Text score; hover any point to name it.

Quality against priceArena Text score against price for 43 text models, GPT-6.1 Sol and GPT-6 Sol marked.1,2501,3001,3501,4001,4501,5001,550$0.30$1$3$10MOST ATTRACTIVE QUADRANTMedian price $3Median 1,475Blended price per 1M tokens (3 input : 1 output), log scaleArena Text (Elo)GPT-6.1 SolGPT-6 Sol
Quality against price: the data
Arena Text score against price for 43 text models, GPT-6.1 Sol and GPT-6 Sol marked.
ModelProviderBlended price per 1M tokensArena Text (Elo)
Gemini 4 ArgonGoogle$41,520
Claude Opus 5.5Anthropic$81,509
Muse WonderMeta$81,507
Claude Fable 5Anthropic$201,504
Claude Fable 5.1Anthropic$201,504
Gemini 3.8 FlashGoogle$1.501,496
Muse Spark 1.3Meta$21,495
Claude Opus 5Anthropic$101,492
Kimi K3Moonshot Kimi$61,488
GPT-5.6 SolOpenAI$81,485
Gemini 3.6 FlashGoogle$31,483
GPT-5.5OpenAI$111,482
Claude Opus 4.8Anthropic$101,482
Qwen3.8-MaxAlibaba Qwen$31,482
GPT-6.1 SolOpenAI$41,481
GLM-5.3Z.ai$2.151,481
MiMo-V2.6-ProXiaomi MiMo$0.541,480
Claude Sonnet 5.5Anthropic$41,477
GLM-5.3-FlashZ.ai$0.241,477
GPT-6 AstraOpenAI$201,476
DeepSeek-V4.1-FlashDeepSeek$0.521,476
GPT-5.4OpenAI$5.631,475
Gemini 3 Flash PreviewGoogle$1.131,473
Grok 4.20xAI$1.561,472
GPT-5.6 TerraOpenAI$4.501,467
Grok 4.5xAI$31,465
DeepSeek-V4-ProDeepSeek$1.981,465
Claude Sonnet 5Anthropic$41,462
GPT-6 SolOpenAI$41,458
Gemini 3.5 Flash-LiteGoogle$0.851,456
Grok 4.6xAI$31,455
GPT-5.6 LunaOpenAI$0.451,453
MiMo-V2.6-FlashXiaomi MiMo$0.181,448
Step 5 PreviewStepFun$1.431,448
Grok 4.3xAI$1.561,442
GPT-6 LunaOpenAI$0.201,441
Grok 4.7xAI$31,441
Mistral Large 4Mistral AI$1.051,432
Claude Haiku 5.5Anthropic$0.201,425
GPT-4.1OpenAI$3.501,415
Solar Pro 4Upstage$0.521,388
GPT-4.1 miniOpenAI$0.701,383
GPT-4.1 nanoOpenAI$0.181,322

Cost

What each costs

Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.

The same work, priced

At each provider's listed rates.

What GPT-6.1 Sol and GPT-6 Sol cost for the same work, at the rates each provider lists.
  • 10M input and 2M output tokens

    The same price

    GPT-6.1 Sol
    $40
    GPT-6 Sol
    $40
  • The same, with 9M of the input tokens cached

    GPT-6 Sol costs 1.0× as much

    GPT-6.1 Sol
    $22.90
    GPT-6 Sol
    $23.80
Workload or rateGPT-6.1 SolGPT-6 Sol
Example workloads
10M input and 2M output tokens$40$40
The same, with 9M of the input tokens cached$22.90 (better)$23.80
Other listed rates
1M input tokens, cached$0.10 (better)$0.20
1M input tokens, prompts over 272K tokens$4$4
1M output tokens, prompts over 272K tokens$15$15

Your own bill will differ. These figures use list prices and example workloads. The AI Model Cost Audit reviews your real usage, shortlists models that score as well for each task for less, and estimates the savings.

Launch price $100, regular price $150

Book the cost audit

Verdict

When to choose each

GPT-6.1 Sol

Where it leads

  • Higher Arena Text score, 1481 Elo vs 1458 Elo
  • Higher Arena WebDev score, 1751 Elo vs 1678 Elo
  • Higher FrontierMath Tiers 1-3 (v2) score, 93.7% vs 89.8%
  • Higher GPQA Diamond score, 95.4% vs 94.3%
  • Higher SimpleQA Verified score, 73.9% vs 60.7%
  • Cheaper cached input, $0.10 vs $0.20 per 1M tokens

Best for

  • Agent loops that replay a large cached prefix
  • A drop-in alternative to GPT-6 Sol at the same base cost

Watch out for

  • The same 272,000-token long-context cliff applies, rebilling the full request at $4 input and $15 output
  • Released a week after GPT-6 Sol at identical base pricing, so the two are easy to confuse on a rate card; the cached rate is the difference

GPT-6 Sol

Where it leads

No measured lead over GPT-6.1 Sol in this data.

Best for

  • General production work that does not need Astra's capability or price
  • Workloads kept under the 272,000-token threshold

Watch out for

  • Prompts over 272,000 input tokens are rebilled for the whole request at $4 input and $15 output, so crossing the line roughly doubles input cost
  • GPT-6.1 Sol lists the same base rates with half the cached-input price, so there is little reason to pick this one for a cache-heavy workload

From benchmark to production

Building on GPT-6.1 Sol or GPT-6 Sol?

Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.

AI Model Cost AuditLaunch price $100, regular price $150What the audit includes

FAQ

GPT-6.1 Sol vs GPT-6 Sol FAQ

Which is cheaper, GPT-6.1 Sol or GPT-6 Sol?

Both cost $2 per 1M input tokens. For 10M input and 2M output tokens, GPT-6.1 Sol costs $40 and GPT-6 Sol $40 at standard rates.

Which is cheaper with prompt caching, GPT-6.1 Sol or GPT-6 Sol?

GPT-6.1 Sol charges $0.10 per 1M cached input tokens, 95% below its standard input rate, and GPT-6 Sol $0.20, 90% below. With 9M of 10M input tokens cached and 2M output tokens, GPT-6.1 Sol costs $22.90 and GPT-6 Sol $23.80.

Which scores higher on independent benchmarks, GPT-6.1 Sol or GPT-6 Sol?

GPT-6.1 Sol leads on Arena Text, 1481 Elo to 1458 Elo; GPT-6.1 Sol leads on Arena WebDev, 1751 Elo to 1678 Elo; GPT-6.1 Sol leads on FrontierMath Tiers 1-3 (v2), 93.7% to 89.8%. Scores are independent evaluations, not either vendor's launch figures.

Which has the larger context window, GPT-6.1 Sol or GPT-6 Sol?

Both accept 1,050,000 tokens of context. Both return up to 128,000 tokens per response.

Production evaluation

Choosing between GPT-6.1 Sol and GPT-6 Sol?

Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • A head-to-head evaluation on your real workload
  • Routing between models by cost and difficulty