INTELLIGENCE
6.8
Media Cap quality axis
Mistral · Open weightsMistral Large 2407
Active
Model portfolio
Mistral Large 2407
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Mistral · Released 2024-11-19 · v2024-11-19 · Open · Context 131K tokens
Language Cap
24
Cadle Language Cap 24 · 77%
Benchmark average
43.2
Not enough benchmark results yet
Pricing
$2.00
$6.00 / 1M out · 2.3 pts/$
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
6.8
Coding
No data yet
Agentic
33.0
MMLU
68.3
GPQA
48.1
Math
58.1
LiveCodeBench
26.7
HumanEval
No data yet
Reason
31.6
ARC-AGI
No data yet
Coverage AVG
43.2
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
26.7
Media Cap quality axis
AGENTIC
33.0
Media Cap quality axis
MATH
58.1
Media Cap quality axis
STRONGEST SIGNAL
Intelligence
Cap axis 6.8
BLENDED $/1M
$8.00
In $2.00 · Out $6.00
VALUE INDEX
5.4
Quality ÷ blended $/1M (higher is better)
CONTEXT
131K
Provider context window (not max output)
SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
- Cap Intelligence
- 18.1
- AA / Intel index
- 6.8
- Cap Coding
- 31.7
- Input $/1M
- $2.00
- Output $/1M
- $6.00
- Value pts/$
- 2.27
DESCRIPTION + DETAILS
PROVIDER
Mistral
RELEASE
2024-11-19
CONTEXT
131K 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 2407.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Mistral |
| Release | 2024-11-19 |
| Input / 1M | $2.00 |
| Output / 1M | $6.00 |
| Context | 131K tokens |
| Cadle Cap | 24 |
| Cap board | Cadle Language Cap 24 |
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 IQ6.8
Agentic33
MMLU68.3
GPQA48.1
Math58.1
LiveCodeBench26.7