DeepSeek, released Dec 1, 2025

DeepSeek Chatprice, context, benchmarks and release details

Provisional: not enough results to rank yet Open weights 32% confidence, 1 of 7 expected sources in

53.5

SI Score

Not ranked yet

Input, per 1M tokens: $0.28
Output, per 1M tokens: $0.42
Context window: 1M
Max output: 384K
Released: Dec 1, 2025

How the score breaks down

Coding —

Math 48.9

Preference —

Reasoning 71.2

Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 06:15 UTC.

Around it on the leaderboard

Full leaderboard

Benchmark results

2 benchmarks, 2 results

Each row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.

GPQA Diamondreasoning 71.2% 71.2

OTIS Mock AIME 2024–2025math 48.9% 48.9

Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.

Details and sources

Open weights: Yes
License: not yet reported
Input modalities: text
First seen by SuperIndex: Oct 8, 2026
Coverage: 25% of expected source weight

Reported (1)

Epoch AI BenchmarkingOct 8, 2026

Awaiting (6)

ARC Prize13% of weight
Humanity’s Last Exam13% of weight
Official model cards via models.dev4% of weight
LiveBench13% of weight
LMArena / Arena25% of weight
Terminal-Bench6% of weight

Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.