40 GB · 6 reports

A100-SXM4-40GB · 40 GB

Qualified results first; original reports and full tables stay below.
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All tasks · Qualified results

Speeds compare only within one exact test. Recipe availability is checked on each report against the published recipe executor.

No qualified results yet · All tasks · A100-SXM4-40GB · 40 GB

6 original reports are kept as evidence but do not qualify for comparison; each report states why. This does not show that the model or GPU cannot run it.

Measured alternatives on other GPUs

Measured on different GPUs with the same or smaller listed capacity. These are references for choosing hardware, not performance or compatibility evidence for your selected GPU.

  1. Qwen3.8-27B-NVFP4

    RadixArk · 2 tested configurations · 1 GPU

    • RTX 5090 · 32 GBNVFP4 · 8K → 2K tokens
      Output throughput · includes prefill · 1 request
      70.8tok/s
      Observed GPU occupancy
      27.3GiB
      First token
      633 ms
      Test details

      Total output tokens divided by the full request window, including prefill and queueing.

      Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.

      Reports combined counts reports, not inference requests. Request successes and failures are listed in each report.

      Engine
      vllm
      Protocol
      wbench-fixed-http-v1
      Dataset
      synthetic-tokenizer-v1:repeats=2
      Workload
      8192in-2048out
      ConcurrencyMean throughput (tok/s)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
      C170.8229.01 s633 ms27.29405.51bad294c0 ↗
    • 1 other test configurations on this GPU
      • NVFP4 · 32K → 2K tokens
        Output throughput · includes prefill · 1 request
        62.5tok/s
        Observed GPU occupancy
        27.3GiB
        First token
        3.6 s
        Test details

        Total output tokens divided by the full request window, including prefill and queueing.

        Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.

        Reports combined counts reports, not inference requests. Request successes and failures are listed in each report.

        Engine
        vllm
        Protocol
        wbench-fixed-http-v1
        Dataset
        synthetic-tokenizer-v1:repeats=2
        Workload
        32768in-2048out
        ConcurrencyMean throughput (tok/s)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
        C162.4832.79 s3.6 s27.29433.31746bbc39 ↗
  2. clef-flash

    Cloudflare · 4 tested configurations · 1 GPU

    • vGPU-32GB · 32 GBbf16 · Text → Structured data · typed-invoices-v1 · Test duration 1 s
      Throughput · Batch 1
      10.3decisions/sec
      Best measured · Batch 4
      10.9decisions/sec
      Observed GPU occupancy
      18.2GiB
      P95 latency
      104 ms
      Test details · 2 batch sizes

      Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.

      Reports combined counts reports, not inference requests. Request successes and failures are listed in each report.

      Engine
      clef-native
      Protocol
      native-forward-v1
      Dataset
      typed-invoices-v1
      Workload
      decision
      Batch sizeMean throughput (decisions/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
      B110.26104 ms—18.1767.911d1661ad ↗
      B410.89389 ms—18.4915611d1661ad ↗
    • 3 other test configurations on this GPU
      • bf16 · Text → Structured data · typed-invoices-v1 · Test duration 6 s
        Throughput · Batch 1
        10.6decisions/sec
        Best measured · Batch 4
        11decisions/sec
        Observed GPU occupancy
        18.2GiB
        P95 latency
        99 ms
        Test details · 2 batch sizes

        Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.

        Reports combined counts reports, not inference requests. Request successes and failures are listed in each report.

        Engine
        clef-native · PyTorch 2.13.0+cu130
        Protocol
        native-forward-v1
        Dataset
        typed-invoices-v1
        Workload
        decision
        Batch sizeMean throughput (decisions/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
        B110.5699 ms—18.17206.1263f44036 ↗
        B411.04402 ms—18.55244.4263f44036 ↗
      • bf16 · Text → Structured data · typed-invoices-v1 · Test duration 6 s
        Throughput · Batch 1
        10.6decisions/sec
        Best measured · Batch 4
        11.1decisions/sec
        Observed GPU occupancy
        18.2GiB
        P95 latency
        103 ms
        Test details · 2 batch sizes

        Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.

        Reports combined counts reports, not inference requests. Request successes and failures are listed in each report.

        Engine
        clef-native
        Protocol
        native-forward-v1
        Dataset
        typed-invoices-v1
        Workload
        decision
        Batch sizeMean throughput (decisions/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
        B110.56103 ms—18.17196.814eb73a4d ↗
        B411.1390 ms—18.56235.914eb73a4d ↗
      • bf16 · 1K → 1K tokens
        Throughput · Batch 1
        10.2decisions/sec
        Best measured · Batch 4
        10.9decisions/sec
        Observed GPU occupancy
        18.2GiB
        P95 latency
        104 ms
        Test details · 2 batch sizes

        Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.

        Reports combined counts reports, not inference requests. Request successes and failures are listed in each report.

        Engine
        vLLM
        Protocol
        native-forward-v1
        Dataset
        typed-invoices-v1
        Workload
        decision
        Batch sizeMean throughput (decisions/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
        B110.19104 ms—18.1769.81caef7154 ↗
        B410.88388 ms—18.49152.81caef7154 ↗

Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.

Measurements without a comparable protocol · 17 rows

These measured rates remain visible, but are excluded from comparison curves because the protocol is unknown.

Measurements without a comparable protocol · 17 rows
ModelFormatEngineWorkloadConcurrencyThroughputGPU power (W)
Qwen2.5-0.5B ↗Q4_K_MOllama1K173.58 tok/s59.47
Qwen2.5-0.5B ↗Q4_K_MOllama1K32219.91 tok/s89.95
Qwen2.5-0.5B ↗Q4_K_MOllama1K8219.04 tok/s90.66
Qwen2.5-0.5B ↗Q4_K_MOllama1K2224.87 tok/s90.68
Qwen2.5-0.5B ↗Q4_K_MOllama1K16215.94 tok/s91.48
Qwen2.5-0.5B ↗Q4_K_MOllama1K4218.84 tok/s92.44
Qwen2.5-3B ↗Q4_K_MOllama1K1128.03 tok/s147.28
Qwen3-0.6B ↗BF16vLLM2K81,314.25 tok/s147.52
Qwen2.5-3B ↗Q4_K_MOllama1K8132.96 tok/s148.65
Qwen2.5-3B ↗Q4_K_MOllama1K2132.24 tok/s148.93
Qwen2.5-3B ↗Q4_K_MOllama1K32126.31 tok/s148.97
Qwen2.5-3B ↗Q4_K_MOllama1K4133.16 tok/s148.97
Qwen2.5-3B ↗Q4_K_MOllama1K16131.61 tok/s150.13
Qwen3-0.6B ↗BF16vLLM2K1363.8 tok/s163.83
Qwen3-0.6B ↗BF16vLLM2K324,013.66 tok/s251.68
Qwen3-0.6B ↗BF16vLLM2K1286,085.75 tok/s330.76
Qwen3-0.6B ↗BF16vLLM2K5125,960.94 tok/s353.35

Original reports

Every report for this task, including quality, diagnostic and legacy runs that do not enter comparisons.
Original reports · 6 rows
ModelTest taskFormatEngineWorkloadProtocolQuality scoreTest date
Qwen2.5-0.5B ↗Text generationQ4_K_MOllama1KMethod unknown—10/14/2026, 8:37:48 AM
qwen2.5-0.5b-instruct-q4_k_m.gguf ↗Text generationQ4_K_Mllama.cpp1Kwbench-http—10/14/2026, 9:07:19 AM
qwen2.5-1.5b-instruct-q4_k_m.gguf ↗Text generationQ4_K_Mllama.cpp1Kwbench-http—10/14/2026, 9:10:06 AM
Qwen2.5-3B ↗Text generationQ4_K_MOllama1KMethod unknown—10/14/2026, 8:44:59 AM
qwen2.5-3b-instruct-q4_k_m.gguf ↗Text generationQ4_K_Mllama.cpp1Kwbench-http—10/14/2026, 9:12:55 AM
Qwen3-0.6B ↗Text generationBF16vLLM2KMethod unknown—5/29/2026, 3:10:44 AM

Running benchmarks

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No benchmarks are currently reported as running.

Methodology

Average of error-free runs for the selected recorded configuration. Missing methods and fallback runs are not ranked. Performance index = average / fastest matching hardware × 100. Value index = performance per purchase cost / best comparable value × 100. Quality is separate by dataset and protocol. Prices are dated seller listings, not completed transactions or market averages.

Updated 11/5/2026, 11:07:29 PM