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Introducing Leto 1Our first field-based AI model

Closed general intelligence.

A frontier AI lab developing field-based intelligence.

Leto 1, against the frontier

7 models · 2 benchmarks

Benchmark

#1Leto 1 leads by 3.88

Legal reasoning across 162 tasks.

Leto 1, against the frontier. Demo numbers, not real results.
BenchmarkModelScore
LegalBenchLeto 192.44
LegalBenchClaude Fable 588.56
LegalBenchClaude Fable 5.188.51
LegalBenchGemini 4 Argon88.30
τ³-benchLeto 175.43
τ³-benchQwen3.8 Max51.30
τ³-benchGrok 4.6 (high)50.70
τ³-benchMuse Spark 1.3 (max)50.50

168.45x Faster,186.24x Cheaper.

Leto 1, against a chat model.

Time per task
Leto 1
0.11 s
Chat model
18.53 s

Each square is one Leto 1 task. The grid is one chat-model task.

Cost per task
Leto 1
$0.00002
Chat model
$0.00372

Each square is one Leto 1 task. The grid is one chat-model task.

More context. Zero hallucinations.

Context window

Context windowHow much each model takes in at once, in tokens, on one scale. Leto 1 holds 3.25 million.

Hallucinations

HallucinationsHow often each model states something its inputs don’t support, on the same workflows. Leto 1: none.
Context window. *Placeholder figures, not measured results.
ModelContext window (tokens)
Leto 13,250,000
GPT-6 Astra1,050,000
Gemini 4 Argon1,048,576
Claude Opus 5.51,000,000
DeepSeek V4.11,000,000
Grok 4.7500,000
Hallucinations. *Placeholder figures, not measured results.
ModelHallucination rate
Leto 10.00%
GPT-6 Astra0.62%
Claude Opus 5.51.94%
Gemini 4 Argon2.37%
DeepSeek V4.13.81%
Grok 4.74.60%
Introducing Leto 1Read the article