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DeepSeek V4 Flash 0731

DeepSeek·Released Jul 31, 2026Open weights

Updated Oct 8, 11:55 PM ET

Overall score
53.9
Rank #30 overall
Evidence
29 results
82% of scored kinds covered
Context window
1M tokens
From OpenRouter
API price, USD per 1M tokens
$0.0079 / $1.28
Input / output · cached input $0.0079

The score is on the board's scale (reference average 50, about 15 points per standard deviation), not a percentage.

By domain

Each domain is scored on the same scale as the overall score. Coverage is the share of the domain's kinds of evaluation with a result; it says how much evidence there is, not how good the model is.

Coding#29
56.1
8 results · 78% coverage
Research and reasoning#32
52.7
8 results · 88% coverage
Professional work#31
55.2
8 results · 89% coverage
Knowledge and accuracy#39
47.6
5 results · 83% coverage
Human preference
53.4
Not tested yet: shows the overall level

Every result behind the score

The result as the evaluator publishes it, and the reading it gives on the board's scale. A hard evaluation can give a high reading for a modest result; results near 95% or 5% only say "at least" or "at most".

Coding

8 results · 56.1

Research and reasoning

8 results · 52.7

Professional work

8 results · 55.2

Knowledge and accuracy

5 results · 47.6

Shown, not scored

Composite indices, saturated or older evaluations, evaluations still being checked, and vision, writing and multilingual results. They do not move the score.

No result yet

Scored evaluations this model has not taken. A missing result neither adds nor subtracts.

  • Vibe Code Bench 1–100 · Vals AI
  • APEX-SWE · Mercor
  • MysteryMechanism · Vals AI
  • APEX-Agents · Mercor
  • τ²-Bench Telecom (AA run) · Artificial Analysis
  • IFBench (AA run) · Artificial Analysis
  • Arena Text · LMArena
How readings and scores are computed