INTELLIGENCE
19.6
Media Cap quality axis
Mistral · Open weightsMistral: Mistral Small 4
Active
Model portfolio
Mistral: Mistral Small 4
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Mistral · Released 2026-03-16 · v2026-03-16 · Open · Context 262K tokens
Language Cap
38
Cadle Language Cap 38 · 86%
Benchmark average
55.0
Not enough benchmark results yet
Pricing
$0.15
$0.60 / 1M out · 50.2 pts/$
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
34.6
Intelligence
11.3
Coding
26.6
Agentic
41.2
MMLU
66.5
GPQA
76.9
Math
83.8
LiveCodeBench
38.8
HumanEval
No data yet
Reason
53.6
ARC-AGI
No data yet
Coverage AVG
55.0
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
26.6
Media Cap quality axis
AGENTIC
41.2
Media Cap quality axis
MATH
83.8
Media Cap quality axis
MATRIX OVERALL
34.6
AVG 55.0 across matrix cells
STRONGEST SIGNAL
Intelligence
Cap axis 19.6
BLENDED $/1M
$0.75
In $0.15 · Out $0.60
VALUE INDEX
46.1
Quality ÷ blended $/1M (higher is better)
SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
- Overall (Matrix)
- 34.6
- Cap Intelligence
- 37.6
- AA / Intel index
- 11.3
- Cap Coding
- 22.5
- Matrix Coding
- 26.6
- Input $/1M
- $0.15
- Output $/1M
- $0.60
- Value pts/$
- 50.16
DESCRIPTION + DETAILS
PROVIDER
Mistral
RELEASE
2026-03-16
CONTEXT
262K 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 Mistral: Mistral Small 4.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Mistral |
| Release | 2026-03-16 |
| Input / 1M | $0.15 |
| Output / 1M | $0.60 |
| Context | 262K tokens |
| Cadle Cap | 38 |
| Cap board | Cadle Language Cap 38 |
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
Mistral listing
MEASURED CELLS
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.
Overall34.6
AA IQ11.3
Coding26.6
Agentic41.2
MMLU66.5
GPQA76.9
Math83.8
LiveCodeBench38.8