SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
- AA / Intel index
- 11.3
- Matrix Coding
- 26.6
- Input $/1M
- $0.15
- Output $/1M
- $0.60
- Value pts/$
- 15.07
Mistral · Open weightsMistral Small 4 (Reasoning)
Active
Model portfolio
Mistral Small 4 (Reasoning)
Tap a star to rate
Mistral · Released 2026-03-16 · v2026-03-16 · Open
Language Cap
No data yet
language · unranked
Benchmark average
49.7
Not enough benchmark results yet
Pricing
$0.15
$0.60 / 1M out · 15.1 pts/$
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
11.3
Coding
26.6
Agentic
41.2
MMLU
66.5
GPQA
76.9
Math
No data yet
LiveCodeBench
38.8
HumanEval
No data yet
Reason
48.9
ARC-AGI
No data yet
Coverage AVG
49.7
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.
NOT RANKED YET
We only rank a model once it has enough published benchmark results to compare fairly. Everything below is what we do know: pricing, news and any scores that have been published.
DESCRIPTION + DETAILS
PROVIDER
Mistral
RELEASE
2026-03-16
STATUS
ACTIVE
COMMUNITY REVIEWS
OPERATOR NOTES
Quality, latency, cost, and failure modes — not marketing copy.
No reviews yet
WRITE A REVIEW
Tap a star to rate
Stored on this device · synced when signed in
No operator notes yet
First review sets the tone for how teams evaluate Mistral Small 4 (Reasoning).
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Mistral |
| Release | 2026-03-16 |
| Input / 1M | $0.15 |
| Output / 1M | $0.60 |
| Context | No data yet |
| Cadle Cap | 63 |
| Cap board | Unranked |
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 IQ11.3
Coding26.6
Agentic41.2
MMLU66.5
GPQA76.9
LiveCodeBench38.8