Models / Tencent

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Tencent · Open Weight

Recent snapshotData snapshot cf-1.3
Cheese Index51.6cf-1.3
Input / output—Price unknown
Measured dimensions4 / 13Evidence
Context window—tokens · conditions unverified

Decision brief

Start by investigating Coding and Instructions workloads. These are observed strengths in the dataset; validate them on your own tasks.

Coverage counts measured dimensions, not confidence. Benchmark conditions and public source links may be missing. Missing: Mathematics, Multimodal, Multilingual, Reasoning, swe, terminal, gpqa, hle, mcp.

View evidence ↓

Measured task dimensions

Coding
51.6
Agent workflows
45.4
Mathematics
—
Knowledge
47.5
Instructions
48.4
Multimodal
—
Multilingual
—
Reasoning
—
swe
—
terminal
—
gpqa
—
hle
—
mcp
—

Normalized dimensions. A dash means unknown, not zero.

Input / output

Price unknown

Listed dataset prices; provider terms and dates need verification. Zero without explicit free-price evidence is treated as unknown.

Cache, batch, tool fees and self-hosting costs: not verified.

Index variability stability

95.2 · 7 days of history

band

This is index variability, not API uptime or reliability.

Before deployment

  • Confirm provider endpoint, license and version.
  • Test your prompts, tool calls and failure recovery.
  • Verify prices and latency with real usage.

Evidence

These are source categories published by the dataset. Original public links, sample sizes and harness details remain incomplete.

Source categoryProvenance typeAs ofOriginal public link
Codingcore / official_json2026-10-15Not published
Agent workflowscore / official_json2026-10-15Not published
depthcore / official_json2026-10-15Not published
Published index inputs · cf-1.3
Coding51.6
Agent workflows45.4
Long workflows—
Overall—

The method includes overall, but this snapshot does not expose that input. The total cannot be fully reproduced from these displayed axes.

Method: median of available axes, with an 8% Ops blend when present. Source scores are displayed without recalculation or imputation.

Method →
Index history
As ofCheese Index
2026-10-0949.7
2026-10-1051.6
2026-10-1151.6
2026-10-1251.6
2026-10-1351.6
2026-10-1451.6
2026-10-1551.6

Only recorded dates are shown. Missing days are not filled.