SPEED · COST · QUALITY
Measured matrix and verified gateway observations only.
- Overall (Matrix)
- 20.5
- Cadle Intelligence
- 5.9
- Input $/1M
- $0.030
- Output $/1M
- $0.12
- Value pts/$
- 39.33
Model portfolio
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Liquid AI · Released 2026-02-25 · v2026-02-25 · Closed · Context 33K tokens
Language Cap
No data yet
language · unranked
Benchmark average
No data yet
Not enough benchmark results yet
Pricing
$0.030
$0.12 / 1M out · 39.3 pts/$
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
20.5
Intelligence
5.9
Coding
No data yet
Agentic
11.1
MMLU
No data yet
GPQA
47.4
Math
No data yet
LiveCodeBench
No data yet
HumanEval
No data yet
Reason
45.9
ARC-AGI
No data yet
Coverage AVG
33.9
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.
Measured matrix and verified gateway observations only.
PROVIDER
Liquid AI
RELEASE
2026-02-25
CONTEXT
33K tokens
STATUS
ACTIVE
OPERATOR NOTES
Quality, latency, cost, and failure modes — verified production observations.
2 notes indexed
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Stored locally · synced to your profile
Inference Operator
VerifiedOct 23, 2026
Tested LFM2 24B A2B on high-concurrency tool loops. Token generation remains consistent under sustained context load, with minimal prompt drift on complex JSON schemas.
Autonomous Agent Lead
VerifiedOct 19, 2026
Evaluated LFM2 24B A2B on multi-turn code synthesis. Code reasoning and diff application succeed on ~88% of test suites. Best paired with strict system prompt guardrails.
| Metric | |
|---|---|
| Provider | Liquid AI |
| Release | 2026-02-25 |
| Input / 1M | $0.03 |
| Output / 1M | $0.12 |
| Context | 33K tokens |
| Cadle Cap | 51 |
| Cap board | Unranked |
Scores may use different scales — check the Benchmarks tab for source links.
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.