DeepSeek · Open weightsDeepSeek: DeepSeek V3.1 Terminus
Active
Model portfolio
DeepSeek: DeepSeek V3.1 Terminus
Tap a star to rate
DeepSeek · Released 2025-09-22 · v2025-09-22 · Open · Context 164K tokens
ACTIVETextReasoning
Language Cap
44
Cadle Language Cap 44 · 59%
Benchmark average
57.3
Not enough benchmark results yet
Pricing
$0.27
$1.00 / 1M out · 43.7 pts/$
CADLE CAP vs MODEL MATRIX
Cadle Cap ranks models on every published score we have for them — harder benchmarks weigh more. Missing tests are skipped, not zeroed. It answers who is stronger than whom in today's pool.
Model Matrix is the datasheet: Overall, Intelligence, Coding, Agentic, MMLU, GPQA, Math, LiveCodeBench, HumanEval, Reason, ARC-AGI. A dash means unmeasured. AVG is an importance-weighted mean of that model's filled cells only.
MODEL MATRIX · TRUTH CENTER CELLS
Overall
No data yet
Intelligence
13.9
Coding
No data yet
Agentic
37.1
MMLU
83.6
GPQA
75.1
Math
53.7
LiveCodeBench
52.9
HumanEval
No data yet
Reason
41.2
ARC-AGI
No data yet
Coverage AVG
57.3
Cadle Cap ranks models with within-benchmark percentiles so ARC-AGI ~40 and MMLU ~90 never compete raw. Coverage AVG is an importance-weighted mean of filled expert cells only — blanks are skipped, not zeroed.
ANALYSIS · TRUTH CENTER
Hard benches (GPQA · ARC-AGI · LCB · Agentic) sit left — a mid-40 on ARC-AGI can still be frontier. Broader benches on the right are easier and often higher.