INTELLIGENCE
8.9
Media Cap quality axis
Anthropic · ProprietaryClaude 3.5 Haiku
Active
Model portfolio
Claude 3.5 Haiku
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Anthropic · Released 2024-10-22 · v2024-10-22 · Closed · Context 200K tokens
Language Cap
26
Cadle Language Cap 26 · 79%
Benchmark average
44.7
Not enough benchmark results yet
Pricing
Unlisted
no list price
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
8.9
Coding
28.3
Agentic
24.6
MMLU
65.7
GPQA
40.8
Math
60.0
LiveCodeBench
31.4
HumanEval
88.1
Reason
64.7
ARC-AGI
No data yet
Coverage AVG
44.7
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
28.3
Media Cap quality axis
AGENTIC
24.6
Media Cap quality axis
MATH
60.0
Media Cap quality axis
STRONGEST SIGNAL
Intelligence
Cap axis 8.9
CONTEXT
200K
Provider context window (not max output)
CODING (MATRIX)
28.3
Model Matrix coding cell
AGENTIC
24.6
Tool-use / agentic matrix cell
SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
- Cap Intelligence
- 32.5
- AA / Intel index
- 8.9
- Cap Coding
- 24.1
- Matrix Coding
- 28.3
DESCRIPTION + DETAILS
PROVIDER
Anthropic
RELEASE
2024-10-22
CONTEXT
200K 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 Claude 3.5 Haiku.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Anthropic |
| Release | 2024-10-22 |
| Input / 1M | No data yet |
| Output / 1M | No data yet |
| Context | 200K tokens |
| Cadle Cap | 26 |
| Cap board | Cadle Language Cap 26 |
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
Anthropic listing
MEASURED CELLS
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.
AA IQ8.9
Coding28.3
Agentic24.6
MMLU65.7
GPQA40.8
Math60
LiveCodeBench31.4
HumanEval88.1