Skip to main content

AI Rankings

Claude Opus 4.7 vs DeepSeek V4.1 Flash 1017: 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: Claude Opus 4.7 and DeepSeek V4.1 Flash 1017.

Side by side

A check mark shows the better side on each measure. Scores that are too close to call have no winner.
Claude Opus 4.7 compared with DeepSeek V4.1 Flash 1017Claude Opus 4.7 against DeepSeek V4.1 Flash 1017 on 9 measures. Claude Opus 4.7 is better on 1, DeepSeek V4.1 Flash 1017 on 4, 4 are too close to call, 0 have no data for one side.
  • Claude Opus 4.7
  • DeepSeek V4.1 Flash 1017
  1. Epoch Capabilities IndexToo close to call

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

    Claude Opus 4.7:
    157.6
    DeepSeek V4.1 Flash 1017:
    159.3
  2. Arena web development ratingDeepSeek V4.1 Flash 1017 leads

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

    Claude Opus 4.7:
    1557
    DeepSeek V4.1 Flash 1017:
    Better: 1664
  3. ARC-AGI-2DeepSeek V4.1 Flash 1017 leads

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

    Claude Opus 4.7:
    75.8%
    DeepSeek V4.1 Flash 1017:
    Better: 78.1%
  4. FrontierMath (Tiers 1-3)Too close to call

    Original, very hard maths problems written by mathematicians.

    Claude Opus 4.7:
    70.2%
    DeepSeek V4.1 Flash 1017:
    71.2%
  5. GPQA DiamondDeepSeek V4.1 Flash 1017 leads

    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.

    Claude Opus 4.7:
    90.2%
    DeepSeek V4.1 Flash 1017:
    Better: 93.2%
  6. OTIS Mock AIMEToo close to call

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

    Claude Opus 4.7:
    97.8%
    DeepSeek V4.1 Flash 1017:
    99.4%
  7. SimpleQA VerifiedClaude Opus 4.7 leads

    Short factual questions that each have one correct answer.

    Claude Opus 4.7:
    Better: 51.7%
    DeepSeek V4.1 Flash 1017:
    42.5%
  8. Blended price per million tokensDeepSeek V4.1 Flash 1017 costs less

    Blended price: lower is better.

    Claude Opus 4.7:
    $10.00
    DeepSeek V4.1 Flash 1017:
    Better: $0.52
  9. Context windowToo close to call

    How much text it can read at once.

    Claude Opus 4.7:
    1M tokens
    DeepSeek V4.1 Flash 1017:
    1M tokens
Data updated 9 Nov 2026. Only measures that both models have are shown.

The numbers

Claude Opus 4.7 against DeepSeek V4.1 Flash 1017, measure by measure. A check mark shows the better side.
MeasureClaude Opus 4.7DeepSeek V4.1 Flash 1017
Epoch Capabilities IndexToo close to call157.6159.3
Arena web development rating15571664
ARC-AGI-275.8%78.1%
FrontierMath (Tiers 1-3)Too close to call70.2%71.2%
GPQA Diamond90.2%93.2%
OTIS Mock AIMEToo close to call97.8%99.4%
SimpleQA Verified51.7%42.5%
Blended price per million tokens$10.00$0.52
Context windowToo close to call1M tokens1M 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 Claude Opus 4.7
$1.75
Blended price $10.00 per million tokens.
100 chats with DeepSeek V4.1 Flash 1017
$0.09
Blended price $0.52 per million tokens.

Who should pick which

Pick Claude Opus 4.7 if these matter most

  • SimpleQA Verified: 51.7% against 42.5%

Pick DeepSeek V4.1 Flash 1017 if these matter most

  • Arena web development rating: 1664 against 1557
  • ARC-AGI-2: 78.1% against 75.8%
  • GPQA Diamond: 93.2% against 90.2%
  • Blended price per million tokens: $0.52 against $10.00

Too close to call: Epoch Capabilities Index, FrontierMath (Tiers 1-3), OTIS Mock AIME, Context window.

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

Go deeper

Claude Opus 4.7: full page

DeepSeek V4.1 Flash 1017: full page

Questions about this comparison

Which is better, Claude Opus 4.7 or DeepSeek V4.1 Flash 1017?
DeepSeek V4.1 Flash 1017 scores higher on 3 of 7 shared quality measures, Claude Opus 4.7 on 1. 3 measures are too close to call. DeepSeek V4.1 Flash 1017 costs about 95% less than Claude Opus 4.7 on a blended price of $0.52 against $10.00 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, Claude Opus 4.7 or DeepSeek V4.1 Flash 1017?
DeepSeek V4.1 Flash 1017 is cheaper on blended price: $10.00 per million tokens for Claude Opus 4.7 against $0.52 for DeepSeek V4.1 Flash 1017. For 100 chats of about 1,000 tokens in and 500 tokens back, that is about $1.75 for Claude Opus 4.7 and $0.09 for DeepSeek V4.1 Flash 1017.
Which can read longer documents, Claude Opus 4.7 or DeepSeek V4.1 Flash 1017?
Claude Opus 4.7 has a context window of 1M tokens and DeepSeek V4.1 Flash 1017 has 1M tokens.

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: 9 Nov 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

We use optional cookies for analytics and referral tracking. Learn more about our privacy policy