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- GPT-6 Sol vs. Gemini 3.8 Flash
OpenAIGoogleLLM matchup
GPT-6 Solvs.Gemini 3.8 Flash
Which one is better?
GPT-6 Sol and Gemini 3.8 Flash perform about equally well, but GPT-6 Sol costs 2.7 times as much.
GPT-6 Sol
Rank 13
Gemini 3.8 Flash
Rank 18
GPT-6 Sol
Gemini 3.8 Flash
GPT-6 Sol
Gemini 3.8 Flash
GPT-6 Sol
Rank 3 of 785
Gemini 3.8 Flash
Rank 25 of 785
Above 272,000 tokens of context, GPT-6 Sol costs more: $4 input and $15 output per 1M tokens.
Choose GPT-6 Sol for
Choose Gemini 3.8 Flash for
On this page
Where is the difference?
Strengths at a glance
GPT-6 SolGemini 3.8 FlashMedian of all ranked models
95 % range: GPT-6 Sol 112.2 to 117.6, Gemini 3.8 Flash 97.4 to 102.3.
The same values and verdicts as the bars below. In the close-up the net starts at 90 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: Legal.
GPT-6 Sol is ahead in 3 of 10 areas, Gemini 3.8 Flash in none.
GPT-6 Sol ahead: 3GPT-6 Sol slightly ahead: 1level: 4too little data: 1Gemini 3.8 Flash slightly ahead: 1
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.
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.
Gemini 3.8 Flash
The response reached the token limit. No complete recording is available.
Oct 5, 2026 · 40 s · $0.03
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Test details
- Run date
- Oct 5, 2026
- API provider
- openrouter
- Requested API model
- google/gemini-3.8-flash
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 8,188 tokens
- Cost of the attempt
- $0.0307
- Response time
- 40.2 s
- API model reported in response
- google/gemini-3.8-flash
- Pinned endpoint
- Google AI Studio | google/gemini-3.8-flash-20260902
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Failed
Earlier attempts (3)
- Oct 2, 2026API request failedReasoning setting: high
- Oct 1, 2026API request failedReasoning setting: high
- Sep 7, 2026API request failedReasoning setting: high
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.
GPT-6 Sol
Unavailable in this round
Gemini 3.8 Flash
Unavailable in this round
GPT-6 Sol and Gemini 3.8 Flash 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 Gemini 3.8 Flash: 73 to 61 out of 100.
Over time
Weekly values from October 18, 2026 to November 7, 2026
GPT-6 SolGemini 3.8 Flash
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | GPT-6 Sol | Gemini 3.8 Flash |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 110.5 | 106.5 |
| Rank | Rank 13 of 92 | Rank 18 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $2above 272,000 tokens: $4 | $0.75 |
| Outputwhat the model writes | $10above 272,000 tokens: $15 | $3.75 |
| Cost per task (own tests)average of 2 original-protocol tasks both models passed (SVG short test not included) | $0.044 | $0.044 |
| Speed | ||
| Tokens per second | 111 | 115 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 73Rank 3 of 785 | 61Rank 25 of 785 |
| Technical | ||
| Context windowhow much text the model reads at once | 1.05 M tokens≈ 1,580 A4 pages | 1.05 M tokens≈ 1,570 A4 pages |
| Knowledge cutoff | Apr 20, 2026 | March 2026 |
| Released | Sep 22, 2026 | Sep 2, 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 119.2, rank 7$2 input and $10 output per 1M tokens
Gemini 3.8 Flash vs. GPT-6.1 SolOverall index 106.6, rank 17$0.15 input and $0.60 output per 1M tokens
GPT-6 Sol vs. DeepSeek V4.1 Flash 1017Overall index 126.1, rank 1$4 input and $20 output per 1M tokens
GPT-6 Sol vs. Claude Opus 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: GPT-6 SolB: Gemini 3.8 Flash
Show 54 more benchmarks
More comparisons
Compare GPT-6 Sol and Gemini 3.8 Flash 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
- 2Claude Sonnet 5.5 vs. Gemini 3.8 Flash
- 3GPT-6 Luna vs. Gemini 3.8 Flash
- 4Gemini 3.8 Flash vs. DeepSeek-V4.1-Flash
- 5Claude Opus 5.5 vs. Gemini 3.8 Flash
- 6GPT-6 Sol vs. GPT-5.6 Sol
- 7GPT-6 Sol vs. DeepSeek-V4.1-Flash
- 8Gemini 3.8 Flash vs. Gemini 3.1 Pro Preview
- 9Claude Sonnet 4.6 vs. Gemini 3.8 Flash
Show all 68 comparisons
- 10Gemini 3.8 Flash vs. Gemini 3.5 Flash-Lite
- 11GPT-5.6 Sol vs. Gemini 3.8 Flash
- 12Gemini 3.8 Flash vs. Grok 4.7
- 13GPT-6 Sol vs. GPT-5.6 Terra
- 14Claude Haiku 5.5 vs. Gemini 3.8 Flash
- 15Gemini 3.8 Flash vs. GLM-5.3-Flash
- 16GPT-6.1 Sol vs. Gemini 3.8 Flash
- 17GPT-6 Astra vs. GPT-6 Sol
- 18Gemini 3.8 Flash vs. DeepSeek-V4-Pro
- 19Gemini 3.8 Flash vs. DeepSeek V4.1 Flash 1017
- 20Claude Opus 5 vs. Gemini 3.8 Flash
- 21GPT-6 Sol vs. GLM-5.3-Flash
- 22Claude Sonnet 5.5 vs. GPT-6 Sol
- 23GPT-5.6 Luna vs. Gemini 3.8 Flash
- 24Gemini 3.8 Flash vs. DeepSeek-V4-Flash
- 25Claude Sonnet 4.5 vs. Gemini 3.8 Flash
- 26GPT-6 Sol vs. Gemini 3.1 Pro Preview
- 27Claude Opus 4.8 vs. GPT-6 Sol
- 28GPT-6 Sol vs. GPT-5.4
- 29GPT-6 Sol vs. DeepSeek V4.1 Flash 1017
- 30Gemini 3.8 Flash vs. Qwen 3.8 27B
- 31GPT-6 Sol vs. Qwen 3.8 27B
- 32GPT-6 Sol vs. GPT-6 Luna
- 33GPT-6 Sol vs. Kimi K3.1 Pro
- 34Gemini 3.8 Flash vs. Muse Spark 1.3
- 35Claude Sonnet 4.6 vs. GPT-6 Sol
- 36GPT-6 Astra vs. Gemini 3.8 Flash
- 37Gemini 3.8 Flash vs. Gemini 3.6 Flash
- 38Gemini 3.8 Flash vs. Grok 4.6
- 39GPT-5.4 mini vs. Gemini 3.8 Flash
- 40GPT-6 Sol vs. Grok 4.7
- 41Claude Haiku 5.5 vs. GPT-6 Sol
- 42Gemini 3.8 Flash vs. GLM-5.3
- 43Claude Opus 5.5 vs. GPT-6 Sol
- 44GPT-6 Sol vs. Qwen 3.8 Max 0902
- 45Claude Sonnet 5 vs. GPT-6 Sol
- 46GPT-6 Sol vs. Kimi K3
- 47Claude Fable 5.1 vs. GPT-6 Sol
- 48GPT-6 Sol vs. DeepSeek-V4-Pro
- 49GPT-6 Sol vs. GPT-5.6 Luna
- 50Claude Opus 5 vs. GPT-6 Sol
- 51Gemini 3.8 Flash vs. GLM-5.2
- 52Gemini 3.8 Flash vs. Mistral Large 4
- 53GPT-6 Sol vs. Mistral Large 4
- 54GPT-6 Sol vs. Gemini 4 Argon
- 55Claude Fable 5 vs. Gemini 3.8 Flash
- 56GPT-6.1 Terra vs. Gemini 3.8 Flash
- 57GPT-6 Sol vs. Gemini 3.6 Flash
- 58Claude Opus 4.6 vs. GPT-6 Sol
- 59Claude Haiku 4.5 vs. Gemini 3.8 Flash
- 60GPT-5.5 vs. Gemini 3.8 Flash
- 61GPT-6 Sol vs. Muse Wonder
- 62Gemini 3.8 Flash vs. Gemini 3.5 Flash
- 63Claude Haiku 4.5 vs. GPT-6 Sol
- 64GPT-6 Sol vs. GPT-5.5
- 65GPT-6.1 Terra vs. GPT-6 Sol
- 66Gemini 3.8 Flash vs. MiMo-V2.5-Pro
- 67Gemini 3.8 Flash vs. Kimi K3.1 Pro
- 68GPT-6 Sol vs. Gemini 4 Carbon