INTELLIGENCE
7.7
Media Cap quality axis
Alibaba · Open weightsQwen2.5 72B Instruct
Active
Model portfolio
Qwen2.5 72B Instruct
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Alibaba · Released 2024-09-19 · v2024-09-19 · Open · Context 128K tokens
Language Cap
29
Cadle Language Cap 29 · 78%
Benchmark average
47.6
Not enough benchmark results yet
Pricing
$0.36
$0.40 / 1M out · 32.7 pts/$
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
7.7
Coding
No data yet
Agentic
34.5
MMLU
72.0
GPQA
49.1
Math
74.5
LiveCodeBench
27.6
HumanEval
No data yet
Reason
36.9
ARC-AGI
No data yet
Coverage AVG
47.6
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.
CADLE INSIGHTS
Only measured signals
CODING
27.6
Media Cap quality axis
AGENTIC
34.5
Media Cap quality axis
MATH
74.5
Media Cap quality axis
STRONGEST SIGNAL
Intelligence
Cap axis 7.7
BLENDED $/1M
$0.76
In $0.36 · Out $0.40
VALUE INDEX
62.6
Quality ÷ blended $/1M (higher is better)
CONTEXT
128K
Provider context window (not max output)
SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
- Cap Intelligence
- 24.8
- AA / Intel index
- 7.7
- Cap Coding
- 33.6
- Input $/1M
- $0.36
- Output $/1M
- $0.40
- Value pts/$
- 32.68
DESCRIPTION + DETAILS
PROVIDER
Alibaba
RELEASE
2024-09-19
CONTEXT
128K tokens
STATUS
ACTIVE
COMMUNITY REVIEWS
OPERATOR NOTES
Quality, latency, cost, and failure modes — not marketing copy.
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First review sets the tone for how teams evaluate Qwen2.5 72B Instruct.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Alibaba |
| Release | 2024-09-19 |
| Input / 1M | $0.36 |
| Output / 1M | $0.40 |
| Context | 128K tokens |
| Cadle Cap | 29 |
| Cap board | Cadle Language Cap 29 |
DATA PROVENANCE
Scores may use different scales — check the Benchmarks tab for source links.
- Supabase models
- Cadle public observations
SOURCE TRACKING
Evidence linked to this model — listing, hub, benchmarks, or live gateway prices.
API
Alibaba listing
MEASURED CELLS
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.
AA IQ7.7
Agentic34.5
MMLU72
GPQA49.1
Math74.5
LiveCodeBench27.6