STRONGEST SIGNAL
Coding (matrix)
Matrix coding 14.1
Mistral · ProprietaryMistral Small (latest)
Active
Model portfolio
Mistral Small (latest)
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Mistral · Released 2024-09-17 · v2024-09-17 · Closed · Context 262K tokens
Language Cap
41
Cadle Language Cap 41 · 74%
Benchmark average
No data yet
Not enough benchmark results yet
Pricing
$0.15
$0.60 / 1M out · 44.9 pts/$
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
33.7
Coding
14.1
Agentic
No data yet
MMLU
No data yet
GPQA
No data yet
Math
56.3
LiveCodeBench
No data yet
HumanEval
No data yet
Reason
No data yet
ARC-AGI
No data yet
Coverage AVG
34.7
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
BLENDED $/1M
$0.75
In $0.15 · Out $0.60
VALUE INDEX
46.3
Quality ÷ blended $/1M (higher is better)
CONTEXT
262K
Provider context window (not max output)
CODING (MATRIX)
14.1
Model Matrix coding cell
INTEL INDEX
33.7
Matrix AA IQ cell
SPEED · COST · QUALITY
Measured matrix and verified gateway observations only.
- Cadle Intelligence
- 33.7
- Matrix Coding
- 14.1
- Input $/1M
- $0.15
- Output $/1M
- $0.60
- Value pts/$
- 44.93
DESCRIPTION + DETAILS
PROVIDER
Mistral
RELEASE
2024-09-17
CONTEXT
262K tokens
STATUS
ACTIVE
COMMUNITY REVIEWS
OPERATOR NOTES
Quality, latency, cost, and failure modes — verified production observations.
4.5
2 notes indexed
SUBMIT OPERATOR NOTE
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Topic:
5 - Frontier benchmark
Stored locally · synced to your profile
I
Inference Operator
VerifiedOct 23, 2026
Tested Mistral Small (latest) on high-concurrency tool loops. Token generation remains consistent under sustained context load, with minimal prompt drift on complex JSON schemas.
A
Autonomous Agent Lead
VerifiedOct 19, 2026
Evaluated Mistral Small (latest) on multi-turn code synthesis. Code reasoning and diff application succeed on ~88% of test suites. Best paired with strict system prompt guardrails.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Mistral |
| Release | 2024-09-17 |
| Input / 1M | $0.15 |
| Output / 1M | $0.60 |
| Context | 262K tokens |
| Cadle Cap | 41 |
| Cap board | Cadle Language Cap 41 |
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.
AA IQ33.7
Coding14.1
Math56.3