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AI Rankings

Gemini 3.7 Flash vs GPT-6.1 Sol: Scores, Price and Which to Choose

Side by side on every measure both models share: overall score, human votes, tests, price and context window. Close results are called too close to call.

Data updated

Read the model pages for the full picture: Gemini 3.7 Flash and GPT-6.1 Sol.

Side by side

A check mark shows the better side on each measure. Scores that are too close to call have no winner.
Gemini 3.7 Flash compared with GPT-6.1 SolGemini 3.7 Flash against GPT-6.1 Sol on 12 measures. Gemini 3.7 Flash is better on 2, GPT-6.1 Sol on 6, 4 are too close to call, 0 have no data for one side.
  • Gemini 3.7 Flash
  • GPT-6.1 Sol
  1. Epoch Capabilities IndexGPT-6.1 Sol leads

    Combined score over many tests. Bar shows where it sits between the lowest and highest score we track.

    Gemini 3.7 Flash:
    158.0
    GPT-6.1 Sol:
    Better: 168.4
  2. Arena text ratingToo close to call

    Rating from head-to-head votes by people. Bar shows where it sits between the lowest and highest score we track.

    Gemini 3.7 Flash:
    1490
    GPT-6.1 Sol:
    1480
  3. Arena coding ratingToo close to call

    Rating from head-to-head votes by people. Bar shows where it sits between the lowest and highest score we track.

    Gemini 3.7 Flash:
    1520
    GPT-6.1 Sol:
    1537
  4. Arena web development ratingGPT-6.1 Sol leads

    Rating from head-to-head votes by people. Bar shows where it sits between the lowest and highest score we track.

    Gemini 3.7 Flash:
    1590
    GPT-6.1 Sol:
    Better: 1749
  5. Arena vision ratingToo close to call

    Rating from head-to-head votes by people. Bar shows where it sits between the lowest and highest score we track.

    Gemini 3.7 Flash:
    1295
    GPT-6.1 Sol:
    1294
  6. ARC-AGI-2GPT-6.1 Sol leads

    Visual puzzles where the AI must work out a new rule from a few examples and apply it.

    Gemini 3.7 Flash:
    84.6%
    GPT-6.1 Sol:
    Better: 94.2%
  7. FrontierMath (Tiers 1-3)GPT-6.1 Sol leads

    Original, very hard maths problems written by mathematicians.

    Gemini 3.7 Flash:
    71.6%
    GPT-6.1 Sol:
    Better: 93.7%
  8. GPQA DiamondToo close to call

    Very hard multiple-choice science questions in biology, physics and chemistry, written by experts and designed so a quick web search does not give the answer.

    Gemini 3.7 Flash:
    94.8%
    GPT-6.1 Sol:
    95.4%
  9. OTIS Mock AIMEGPT-6.1 Sol leads

    Maths competition problems in the style of the US AIME exam, from the 2024 and 2025 sets.

    Gemini 3.7 Flash:
    97.2%
    GPT-6.1 Sol:
    Better: 100.0%
  10. SimpleQA VerifiedGPT-6.1 Sol leads

    Short factual questions that each have one correct answer.

    Gemini 3.7 Flash:
    69.2%
    GPT-6.1 Sol:
    Better: 73.9%
  11. Blended price per million tokensGemini 3.7 Flash costs less

    Blended price: lower is better.

    Gemini 3.7 Flash:
    Better: $1.50
    GPT-6.1 Sol:
    $4.00
  12. Context windowGemini 3.7 Flash leads

    How much text it can read at once.

    Gemini 3.7 Flash:
    Better: 1M tokens
    GPT-6.1 Sol:
    922K tokens
Data updated 26 Oct 2026. Only measures that both models have are shown.

The numbers

Gemini 3.7 Flash against GPT-6.1 Sol, measure by measure. A check mark shows the better side.
MeasureGemini 3.7 FlashGPT-6.1 Sol
Epoch Capabilities Index158.0168.4
Arena text ratingToo close to call14901480
Arena coding ratingToo close to call15201537
Arena web development rating15901749
Arena vision ratingToo close to call12951294
ARC-AGI-284.6%94.2%
FrontierMath (Tiers 1-3)71.6%93.7%
GPQA DiamondToo close to call94.8%95.4%
OTIS Mock AIME97.2%100.0%
SimpleQA Verified69.2%73.9%
Blended price per million tokens$1.50$4.00
Context window1M tokens922K tokens

What it costs in everyday terms

Estimate for 100 chats of about 1,000 tokens in and 500 tokens back, from list prices. Your bill depends on how you use it.
100 chats with Gemini 3.7 Flash
$0.26
Blended price $1.50 per million tokens.
100 chats with GPT-6.1 Sol
$0.70
Blended price $4.00 per million tokens.

Who should pick which

Pick Gemini 3.7 Flash if these matter most

  • Blended price per million tokens: $1.50 against $4.00
  • Context window: 1M tokens against 922K tokens

Pick GPT-6.1 Sol if these matter most

  • Epoch Capabilities Index: 168.4 against 158.0
  • Arena web development rating: 1749 against 1590
  • ARC-AGI-2: 94.2% against 84.6%
  • FrontierMath (Tiers 1-3): 93.7% against 71.6%
  • OTIS Mock AIME: 100.0% against 97.2%
  • SimpleQA Verified: 73.9% against 69.2%

Too close to call: Arena text rating, Arena coding rating, Arena vision rating, GPQA Diamond.

Scores come from tests and votes, not from your own work. Try both on a task you care about before you commit.

Questions about this comparison

Which is better, Gemini 3.7 Flash or GPT-6.1 Sol?
GPT-6.1 Sol scores higher on 6 of 10 shared quality measures, Gemini 3.7 Flash on 0. 4 measures are too close to call. Gemini 3.7 Flash costs about 63% less than GPT-6.1 Sol on a blended price of $1.50 against $4.00 per million tokens. Which one is better for you depends on your task and budget, so test both on your own work.
Which is cheaper, Gemini 3.7 Flash or GPT-6.1 Sol?
Gemini 3.7 Flash is cheaper on blended price: $1.50 per million tokens for Gemini 3.7 Flash against $4.00 for GPT-6.1 Sol. For 100 chats of about 1,000 tokens in and 500 tokens back, that is about $0.26 for Gemini 3.7 Flash and $0.70 for GPT-6.1 Sol.
Which is better for coding, Gemini 3.7 Flash or GPT-6.1 Sol?
On Arena coding rating they are too close to call (1520 and 1537).

Where this data comes from

  • Epoch AI: Benchmark data: Epoch AI, 'Capabilities & benchmarking', epoch.ai/benchmarks (CC BY 4.0). We match models across sources, rank them and show them in charts. Scores are not changed. Epoch AI does not endorse this site.
  • Arena (formerly LMArena): Human-preference ratings: Arena (arena.ai) leaderboard dataset, CC BY 4.0. We keep the latest published ratings, match them to models from other sources and rank them. Ratings are not changed. Arena does not endorse this site.
  • LiteLLM model price list: Prices and context windows: LiteLLM model price list (github.com/BerriAI/litellm, MIT licence). We use the model maker's own price entry when there is one. Prices change often, so always confirm on the maker's site before you buy.

Newest data on this page: 26 Oct 2026. Prices are list prices and change often, so confirm on the maker's site before you buy. Sponsors never change a score or an order. How we calculate this · Report a mistake

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