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- Claude Opus 4.6 vs. GPT-6 Sol
AnthropicOpenAILLM matchup
Claude Opus 4.6vs.GPT-6 Sol
Which one is better?
GPT-6 Sol performs better than Claude Opus 4.6 and is cheaper: Claude Opus 4.6 costs 2.5 times as much.
Claude Opus 4.6
Rank 52
GPT-6 Sol
Rank 13
Claude Opus 4.6
GPT-6 Sol
Claude Opus 4.6
GPT-6 Sol
Claude Opus 4.6
Rank 392 of 785
GPT-6 Sol
Rank 3 of 785
Above 272,000 tokens of context, GPT-6 Sol costs more: $4 input and $15 output per 1M tokens.
Choose Claude Opus 4.6 for
No clear advantage
Choose GPT-6 Sol for
On this page
Where is the difference?
Strengths at a glance
Opus 4.6GPT-6 SolMedian of all ranked models
95 % range: Opus 4.6 77.6 to 90.4, GPT-6 Sol 112.2 to 117.6.
The same values and verdicts as the bars below. In the close-up the net starts at 65 points, just below the weaker model's lowest value; the reference group average is 100. Not in the net because a model has no own value there or the data are too thin: Mathematics, Knowledge, Finance.
GPT-6 Sol is ahead in 7 of 10 areas, Opus 4.6 in none.
too little data: 3GPT-6 Sol ahead: 7
Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.
Show 4 more areas that do not count toward the overall index
Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.
Which model for which task?
Everyday tasks, translated from the area values above. Each row names the values it rests on.
See for yourself: same task, one attempt
The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.
Claude Opus 4.6

Oct 1, 2026 · 85 s · $0.16
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- anthropic/claude-opus-4.6
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 6,460 tokens
- Cost of the attempt
- $0.1616
- Response time
- 85.1 s
- API model reported in response
- anthropic/claude-opus-4.6
- Pinned endpoint
- Anthropic | anthropic/claude-4.6-opus-20260205
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
Visually reviewed. This individual test does not establish overall model quality.
GPT-6 Sol

Oct 1, 2026 · 80 s · $0.04
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- openai/gpt-6-sol
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 4,389 tokens
- Cost of the attempt
- $0.0439
- Response time
- 80.5 s
- API model reported in response
- openai/gpt-6-sol
- Pinned endpoint
- OpenAI | openai/gpt-6-sol-20260922
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
Visually reviewed. This individual test does not establish overall model quality.
SVG short test
SVG short test
One SVG task with the same fixed settings for every model, without hidden thinking.
Prompt
Return only one standalone SVG of a pelican riding a bicycle. Use viewBox="0 0 800 600", simple shapes, two clearly visible wheels and a recognizable pelican with a long beak. At most 30 SVG elements and 1800 characters. No Markdown, explanations, comments, scripts, animation, CSS or external resources.
Claude Opus 4.6

Oct 14, 2026 · $0.0196
Test details
- Test run
- Oct 14, 2026
- Provider
- anthropic
- API model
- anthropic/claude-opus-4.6
- Output
- 766 tokens
- Reasoning
- API reports 0 reasoning tokens
- Cost of the attempt
- $0.0196
- Test round
- 43b8c5c46830
GPT-6 Sol
Unavailable in this round
Claude Opus 4.6 and GPT-6 Sol in the overall index
Every model with a place in the overall index, both models of this matchup highlighted. You can add or hide other models.
Overall index (Gradually Meta-Score v4)
20 of 92 models
4 models in this view are measured at a lower reasoning effort than max in the overall index. Dashed column: lower reasoning effort than the top.
Popularity compared
How often the models are searched for, used and mentioned, on a scale from 0 to 100.
GPT-6 Sol is more popular than Claude Opus 4.6: 73 to 36 out of 100.
Over time
Weekly values from October 18, 2026 to November 7, 2026
Claude Opus 4.6GPT-6 Sol
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | Claude Opus 4.6 | GPT-6 Sol |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 81.8 | 110.5 |
| Rank | Rank 52 of 92 | Rank 13 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $5 | $2above 272,000 tokens: $4 |
| Outputwhat the model writes | $25 | $10above 272,000 tokens: $15 |
| Cost per task (own tests)average of 3 original-protocol tasks both models passed (SVG short test not included) | $0.18 | $0.044 |
| Speed | ||
| Tokens per second | 52 | 111 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 36Rank 392 of 785 | 73Rank 3 of 785 |
| Technical | ||
| Context windowhow much text the model reads at once | 1 M tokens≈ 1,500 A4 pages | 1.05 M tokens≈ 1,580 A4 pages |
| Knowledge cutoff | May 2025 | Apr 20, 2026 |
| Released | February 2026 | Sep 22, 2026 |
| Availability | Active | Active |
| Open weights | no | no |
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Is there a better choice?
Overall index 93.5, rank 39$5 input and $25 output per 1M tokens
GPT-6 Sol vs. Claude Opus 4.7Overall index 119.2, rank 7$2 input and $10 output per 1M tokens
Opus 4.6 vs. GPT-6.1 SolOverall index 122.8, rank 4$2 input and $10 output per 1M tokens
GPT-6 Sol vs. Claude Sonnet 5.5Shared benchmarks
Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.
A: Claude Opus 4.6B: GPT-6 Sol
Show 34 more benchmarks
More comparisons
Compare Claude Opus 4.6 and GPT-6 Sol with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
- 1Claude Opus 4.6 vs. Gemini 3.8 Flash
- 2GPT-6 Sol vs. GPT-5.6 Sol
- 3GPT-6 Sol vs. DeepSeek-V4.1-Flash
- 4GPT-6 Sol vs. Gemini 3.8 Flash
- 5Claude Opus 5.5 vs. Claude Opus 4.6
- 6GPT-6 Sol vs. GPT-5.6 Terra
- 7GPT-6 Astra vs. GPT-6 Sol
- 8Claude Opus 4.6 vs. DeepSeek-V4.1-Flash
- 9Claude Sonnet 5.5 vs. Claude Opus 4.6
Show all 54 comparisons
- 10GPT-6 Sol vs. GLM-5.3-Flash
- 11Claude Sonnet 5.5 vs. GPT-6 Sol
- 12GPT-6 Sol vs. Gemini 3.1 Pro Preview
- 13Claude Opus 4.8 vs. GPT-6 Sol
- 14GPT-6 Sol vs. GPT-5.4
- 15GPT-6 Sol vs. DeepSeek V4.1 Flash 1017
- 16GPT-6 Sol vs. Qwen 3.8 27B
- 17GPT-6 Sol vs. GPT-6 Luna
- 18Claude Opus 4.6 vs. GPT-6 Luna
- 19Claude Opus 4.6 vs. GLM-5.3-Flash
- 20Claude Opus 4.6 vs. Qwen 3.8 27B
- 21GPT-6 Sol vs. Kimi K3.1 Pro
- 22Claude Opus 4.6 vs. GPT-6.1 Sol
- 23Claude Sonnet 4.6 vs. GPT-6 Sol
- 24Claude Opus 4.6 vs. GPT-6 Astra
- 25GPT-6 Sol vs. Grok 4.7
- 26Claude Haiku 5.5 vs. GPT-6 Sol
- 27Claude Opus 5.5 vs. GPT-6 Sol
- 28GPT-6 Sol vs. Qwen 3.8 Max 0902
- 29Claude Sonnet 5 vs. GPT-6 Sol
- 30GPT-6 Sol vs. Kimi K3
- 31Claude Fable 5.1 vs. GPT-6 Sol
- 32GPT-6 Sol vs. DeepSeek-V4-Pro
- 33GPT-6 Sol vs. GPT-5.6 Luna
- 34Claude Opus 5 vs. GPT-6 Sol
- 35Claude Haiku 5.5 vs. Claude Opus 4.6
- 36Claude Opus 4.6 vs. DeepSeek V4.1 Flash 1017
- 37GPT-6 Sol vs. Mistral Large 4
- 38GPT-6 Sol vs. Gemini 4 Argon
- 39GPT-6 Sol vs. Gemini 3.6 Flash
- 40Claude Opus 4.6 vs. Claude Sonnet 4.6
- 41Claude Opus 4.6 vs. GLM-5.3
- 42GPT-6 Sol vs. Muse Wonder
- 43Claude Fable 5.1 vs. Claude Opus 4.6
- 44Claude Haiku 4.5 vs. GPT-6 Sol
- 45Claude Opus 4.6 vs. Muse Spark 1.3
- 46GPT-6 Sol vs. GPT-5.5
- 47GPT-6.1 Terra vs. GPT-6 Sol
- 48Claude Opus 4.6 vs. Mistral Large 4
- 49Claude Opus 4.6 vs. Gemini 3.6 Flash
- 50Claude Opus 4.8 vs. Claude Opus 4.6
- 51Claude Opus 4.6 vs. Gemini 4 Argon
- 52Claude Opus 4.6 vs. Kimi K3.1 Pro
- 53GPT-6 Sol vs. Gemini 4 Carbon
- 54Claude Opus 4.6 vs. Gemini 4 Carbon