INTELLIGENCE
8.2
Media Cap quality axis
Mistral · Open weightsMagistral Small
Active
Model portfolio
Magistral Small
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Mistral · Released 2025-06-10 · v2025-06-10 · Open
Language Cap
42
Cadle Language Cap 42 · 80%
Benchmark average
58.2
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
8.2
Coding
No data yet
Agentic
26.6
MMLU
75.3
GPQA
66.2
Math
96.1
LiveCodeBench
53.6
HumanEval
No data yet
Reason
26.8
ARC-AGI
No data yet
Coverage AVG
58.2
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
53.6
Media Cap quality axis
AGENTIC
26.6
Media Cap quality axis
MATH
96.1
Media Cap quality axis
STRONGEST SIGNAL
Intelligence
Cap axis 8.2
AGENTIC
26.6
Tool-use / agentic matrix cell
INTEL INDEX
8.2
Matrix AA IQ cell
SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
- Cap Intelligence
- 28.4
- AA / Intel index
- 8.2
- Cap Coding
- 65.4
DESCRIPTION + DETAILS
PROVIDER
Mistral
RELEASE
2025-06-10
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 Magistral Small.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Mistral |
| Release | 2025-06-10 |
| Input / 1M | No data yet |
| Output / 1M | No data yet |
| Context | No data yet |
| Cadle Cap | 42 |
| Cap board | Cadle Language Cap 42 |
DATA PROVENANCE
Scores may use different scales — check the Benchmarks tab for source links.
- Supabase models
- Cadle public observations
MEASURED CELLS
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.
AA IQ8.2
Agentic26.6
MMLU75.3
GPQA66.2
Math96.1
LiveCodeBench53.6