Benchmark avg
13.1
6 tracked scores
ActiveModel portfolio
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DeepSeek · Released 2025-01-20 · v2025-01-20 · Open · Context 33K tokens
Cadle Score
—
Unranked · 79%
Benchmark average
—
Not enough benchmark results yet
Pricing
Unlisted
no list price
MODEL MATRIX · TRUTH CENTER CELLS
Overall
—
Intelligence
—
Coding
—
Reasoning
56.3
Language
21.5
Knowledge
12.1
Agentic
—
MMLU
12.1
GPQA
67.1
Math
22.0
LiveCodeBench
—
HumanEval
—
Reason
—
ARC-AGI
—
Coverage AVG
39.5
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.
Only measured signals
Benchmark avg
13.1
6 tracked scores
Strongest signal
ifeval
Score 37.8
Context
33K
Provider context window (not max output)
PROVIDER
DeepSeek
RELEASE
2025-01-20
CONTEXT
33K tokens
STATUS
ACTIVE
Real operator evaluations, prompt robustness observations, and deployment notes for DeepSeek R1 Distill Llama 8B.
Tested DeepSeek R1 Distill Llama 8B on high-concurrency tool loops. Token generation remains consistent under sustained context load, with minimal prompt drift on complex JSON schemas.
Evaluated DeepSeek R1 Distill Llama 8B on multi-turn code synthesis. Code reasoning and diff application succeed on ~88% of test suites. Best paired with strict system prompt guardrails.
| Metric | |
|---|---|
| Provider | DeepSeek |
| Release | 2025-01-20 |
| Input / 1M | No data yet |
| Output / 1M | No data yet |
| Context | 33K tokens |
| Cadle Cap | 57 |
| Cap board | Unranked |
| mmlu-pro | 12.1 |
| musr | 0.5 |
| gpqa-diamond | 0.7 |
| math-level-5 | 22.0 |
| bbh | 5.3 |
| ifeval | 37.8 |
Scores may use different scales — check the Benchmarks tab for source links.
Evidence linked to this model — listing, hub, benchmarks, or live gateway prices.
API
DeepSeek listing
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.