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- GPT-6.1 Sol vs. Gemini 3.7 Flash
OpenAIGoogleLLM matchup
GPT-6.1 Solvs.Gemini 3.7 Flash
Which one is better?
GPT-6.1 Sol performs better than Gemini 3.7 Flash.
GPT-6.1 Sol
Rank 9
Gemini 3.7 Flash
Rank 17
GPT-6.1 Sol
Gemini 3.7 Flash
GPT-6.1 Sol
Gemini 3.7 Flash
Above 272,000 tokens of context, GPT-6.1 Sol costs more: $4 input and $15 output per 1M tokens.
Choose GPT-6.1 Sol for
No clear advantage for Gemini 3.7 Flash.
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Where is the difference?
Strengths at a glance
GPT-6.1 SolGemini 3.7 FlashMedian of all ranked models
95 % range: GPT-6.1 Sol 113.7 to 127.5, Gemini 3.7 Flash 93.0 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.
GPT-6.1 Sol is ahead in 5 of 10 areas, Gemini 3.7 Flash in none.
GPT-6.1 Sol ahead: 5GPT-6.1 Sol slightly ahead: 3level: 2
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.
GPT-6.1 Sol vs. Gemini 3.7 Flash in our own test
The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.
GPT-6.1 Sol

Oct 1, 2026 · 84 s · $0.04
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- openai/gpt-6.1-sol
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 3,583 tokens
- Cost of the attempt
- $0.0359
- Response time
- 83.6 s
- API model reported in response
- openai/gpt-6.1-sol
- Pinned endpoint
- OpenAI | openai/gpt-6.1-sol-20260929
- 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 3.7 Flash
The response reached the token limit. No complete recording is available.
Oct 5, 2026 · 29 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-3.7-flash
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 8,188 tokens
- Cost of the attempt
- $0.0307
- Response time
- 28.8 s
- API model reported in response
- google/gemini-3.7-flash
- Pinned endpoint
- Google AI Studio | google/gemini-3.7-flash-20260813
- 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-6.1 Sol
Unavailable in this round
Gemini 3.7 Flash
Unavailable in this round
GPT-6.1 Sol and Gemini 3.7 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 v5)
20 of 95 models
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | GPT-6.1 Sol | Gemini 3.7 Flash |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 117.5 | 107.7 |
| Rank | Rank 9 of 95 | Rank 17 of 95 |
| Price per 1M tokens | ||
| Inputwhat you send | $2above 272,000 tokens: $4 | n/a |
| Outputwhat the model writes | $10above 272,000 tokens: $15 | n/a |
| Cost per task (own tests)average of 2 original-protocol tasks both models passed (SVG short test not included) | $0.047 | $0.042 |
| Speed | ||
| Tokens per second | 54 | 71 |
| 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 30, 2026 | March 2026 |
| Released | Sep 29, 2026 | Aug 13, 2026 |
| Availability | Active | Discontinued |
| 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 106.4, rank 20$0.75 input and $3.75 output per 1M tokens
GPT-6.1 Sol vs. Gemini 3.8 FlashOverall index 130.9, rank 1$8 input and $40 output per 1M tokens
GPT-6.1 Sol vs. Claude Fable 5.2Shared 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-6.1 SolB: Gemini 3.7 Flash
Show 54 more benchmarks
More comparisons
Compare GPT-6.1 Sol and Gemini 3.7 Flash with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
- 1GPT-6.1 Sol vs. GPT-5.6 Sol
- 2GPT-6.1 Sol vs. GPT-6.1 Terra
- 3GPT-6.1 Sol vs. GPT-6 Astra
- 4GPT-6.1 Sol vs. GPT-5.6 Terra
- 5Gemini 3.7 Flash vs. Qwen 3.8 27B
- 6GPT-6 Luna vs. Gemini 3.7 Flash
- 7GPT-6.1 Sol vs. Gemini 3.8 Flash
- 8Gemini 3.7 Flash vs. DeepSeek-V4-Flash
- 9GPT-5.6 Luna vs. Gemini 3.7 Flash
Show all 55 comparisons
- 10Claude Haiku 5.5 vs. Gemini 3.7 Flash
- 11Claude Sonnet 5.5 vs. Gemini 3.7 Flash
- 12Gemini 3.7 Flash vs. Gemini 3.5 Flash-Lite
- 13Gemini 3.7 Flash vs. Qwen 3.8 Max 0902
- 14Claude Opus 5.5 vs. GPT-6.1 Sol
- 15Gemini 3.7 Flash vs. DeepSeek V4.1 Flash 1017
- 16Claude Sonnet 5.5 vs. GPT-6.1 Sol
- 17GPT-5.6 Terra vs. Gemini 3.7 Flash
- 18Claude Sonnet 4.6 vs. Gemini 3.7 Flash
- 19GPT-6.1 Sol vs. GLM-5.3-Flash
- 20GPT-6.1 Sol vs. GPT-6 Luna
- 21GPT-6.1 Sol vs. Gemini 4 Carbon
- 22GPT-6.1 Sol vs. DeepSeek-V4.1-Flash
- 23Claude Opus 4.8 vs. GPT-6.1 Sol
- 24Claude Opus 4.6 vs. Gemini 3.7 Flash
- 25GPT-6.1 Sol vs. Gemini 4 Argon
- 26GPT-6.1 Sol vs. Kimi K3.1 Pro
- 27GPT-6.1 Sol vs. DeepSeek-V4-Flash
- 28GPT-6.1 Sol vs. GPT-5.4 mini
- 29GPT-6.1 Sol vs. GPT-5.4
- 30GPT-6.1 Sol vs. DeepSeek V4.1 Flash 1017
- 31GPT-6.1 Sol vs. Qwen 3.8 Max 0902
- 32Claude Sonnet 4.6 vs. GPT-6.1 Sol
- 33Claude Opus 4.6 vs. GPT-6.1 Sol
- 34GPT-6.1 Sol vs. GPT-5.6 Luna
- 35Claude Sonnet 5 vs. GPT-6.1 Sol
- 36Claude Opus 5 vs. GPT-6.1 Sol
- 37GPT-6.1 Sol vs. GPT-5.5
- 38Claude Haiku 5.5 vs. GPT-6.1 Sol
- 39GPT-6.1 Sol vs. Grok 4.7
- 40Claude Sonnet 4.5 vs. GPT-6.1 Sol
- 41GPT-6.1 Sol vs. Gemini 3.5 Flash
- 42Claude Opus 4.7 vs. GPT-6.1 Sol
- 43GPT-6.1 Sol vs. GLM-5.3
- 44Claude Fable 5.2 vs. GPT-6.1 Sol
- 45GPT-6.1 Sol vs. Qwen 3.8 27B
- 46Claude Fable 5.1 vs. GPT-6.1 Sol
- 47GPT-6.1 Sol vs. Gemini 3.1 Pro Preview
- 48GPT-6.1 Sol vs. Gemini 3.6 Flash
- 49Gemini 4 Carbon vs. Gemini 3.7 Flash
- 50GPT-6.1 Sol vs. Kimi K3
- 51Claude Fable 5 vs. GPT-6.1 Sol
- 52GPT-6.1 Sol vs. DeepSeek-V4-Pro
- 53GPT-6.1 Sol vs. Muse Wonder
- 54Claude Haiku 4.5 vs. GPT-6.1 Sol
- 55Claude Opus 4.5 vs. GPT-6.1 Sol