GLM 5.3 Flash

GLM 5.3 Flash

z-ai/glm-5.3-flash

starter@v1HostedOpenRouterserved by StreamLakeFP81M context2026-10-03 18:45 UTC
Overall score
35

48 of 153 test cases fully passed

Throughput
63.2tok/s
Mean per test case, 60 tok/s over the run
Output per test
2.8Ktokens
Answer plus reasoning
Reasoning per test
2.5Ktokens
89% of the output
Total tokens
1.3M
882.2K in, 427.9K out
Run time
2h 21m
55.5s per caseRequest time, summed
Cost
$0.19
$0.0013 per caseAt the provider's list price

Every test case

153 test cases in 8 tasks

One square per test case. Select a square to read the answer.

PassedPartial creditFailed
10Agents2 of 21 passed
48Structured Extraction10 of 21 passed
54Coding6 of 21 passed
37Grounded Answers8 of 21 passed
43Instruction Following6 of 21 passed
33Business Logic7 of 21 passed
55Security & permissions9 of 21 passed
0Diagnosis & investigation0 of 6 passed

Speed and output per test case

One bar per test case. Hover to inspect a case, select it to read the answer.

ThroughputPeak 99 tok/s
Output tokensReasoningAnswer

Test by test

Every answer with its reasoning and the checks it had to pass.

Reproduce this run

The prompts stay private so models can't train on them. The hashes pin the exact suite and config this run used.

Serve the modelOpenRouterHosted
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"z-ai/glm-5.3-flash","provider":{"order":["streamlake/fp8"],"allow_fallbacks":false},"messages":[{"role":"user","content":"Hello"}]}'

The request the benchmark sent, pinned to the provider that served it.

Record id
Suite hash, starter@v1
Config hash

Configuration

Where the suite ran, and the token budget each task got.

Deployment
Hosted
API
OpenRouter
Serving provider
StreamLake
Precision
FP8
Context window
1M
Temperature
0
Bench version
v1.0.0
Ran at
2026-10-03 18:45 UTC
Provider parameters
{
  "provider": {
    "order": [
      "streamlake/fp8"
    ],
    "allow_fallbacks": false
  }
}
Token budget per task
TaskReasoningMax output per call
Agents4.1Khigh12.3K
Structured Extraction4.1Khigh12.3K
Coding4.1Khigh12.3K
Grounded Answers4.1Khigh12.3K
Instruction Following4.1Khigh12.3K
Business Logic4.1Khigh12.3K
Security & permissions4.1Khigh12.3K
Diagnosis & investigation4.1Khigh12.3K