INTELLIGENCE
17.9
Media Cap quality axis
Mistral · Open weightsMistral Large 3
Active
Model portfolio
Mistral Large 3
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Mistral · Released 2025-12-02 · v2025-12-02 · Open · Context 262K tokens
Language Cap
25
Cadle Language Cap 25 · 79%
Benchmark average
44.3
Not enough benchmark results yet
Pricing
$0.50
$1.50 / 1M out · 15.1 pts/$
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
33.4
Intelligence
9.3
Coding
20.1
Agentic
24.6
MMLU
83.3
GPQA
68.0
Math
38.0
LiveCodeBench
41.5
HumanEval
No data yet
Reason
43.0
ARC-AGI
No data yet
Coverage AVG
44.3
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
20.1
Media Cap quality axis
AGENTIC
24.6
Media Cap quality axis
MATH
38.0
Media Cap quality axis
MATRIX OVERALL
33.4
AVG 44.3 across matrix cells
STRONGEST SIGNAL
Intelligence
Cap axis 17.9
BLENDED $/1M
$2.00
In $0.50 · Out $1.50
VALUE INDEX
16.7
Quality ÷ blended $/1M (higher is better)
SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
- Overall (Matrix)
- 33.4
- Cap Intelligence
- 30.3
- AA / Intel index
- 9.3
- Cap Coding
- 12.7
- Matrix Coding
- 20.1
- Input $/1M
- $0.50
- Output $/1M
- $1.50
- Value pts/$
- 15.14
DESCRIPTION + DETAILS
PROVIDER
Mistral
RELEASE
2025-12-02
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 Large 3.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Mistral |
| Release | 2025-12-02 |
| Input / 1M | $0.50 |
| Output / 1M | $1.50 |
| Context | 262K tokens |
| Cadle Cap | 25 |
| Cap board | Cadle Language Cap 25 |
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.
Overall33.4
AA IQ9.3
Coding20.1
Agentic24.6
MMLU83.3
GPQA68
Math38
LiveCodeBench41.5