Claude-Opus-4 - LiveCodeBench
LiveCodeBench pass@1 62.4 across 1055 tasks
View sourceTeichAI
GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill-GGUF is a open-weight TeichAI specialized model.
Running this yourself: can likely run on your own machine.
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Quality Score
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Arena ELO
Unknown
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
12 of 22 public signals
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5.5K
Downloads
508
Likes
Jan 2026
Released
1/5 signals
2/4 signals
4/5 signals
3/4 signals
2/4 signals
Gaps we are still tracking
Benchmarks
14
Open Source
1
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
LiveCodeBench pass@1 62.4 across 1055 tasks
View sourceLiveCodeBench pass@1 62.4 across 1055 tasks
View sourceLiveCodeBench pass@1 62.4 across 1055 tasks
LiveCodeBench pass@1 62.4 across 1055 tasks
LiveCodeBench pass@1 62.4 across 1055 tasks
View sourceSWE-Bench Verified resolved rate 79.2
View sourceLiveCodeBench pass@1 62.4 across 1055 tasks
LiveCodeBench pass@1 62.4 across 1055 tasks
LiveCodeBench pass@1 62.4 across 1055 tasks
SWE-Bench Verified resolved rate 79.2
GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill-GGUF is now available through local Ollama runtime. 198K context window listed. As the strongest model in the 30B class, GLM-4.7-Flash offers a new option for lightweight deployment that balances performance and efficiency.
LiveCodeBench pass@1 62.4 across 1055 tasks
LiveCodeBench pass@1 62.4 across 1055 tasks
SWE-Bench Verified resolved rate 54.2
GAIA score 58.1 from Jaram 4.0
GAIA score 58.1 from Jaram 4.0
GAIA score 58.1 from Jaram 4.0
GAIA score 58.1 from Jaram 4.0
GAIA score 58.1 from Jaram 4.0
GAIA score 74.1 from Clawdbot