Measured workload economics

Verified GPU cost benchmarks

Convert exact MLPerf 6.0 results into published snapshot economics or enter your own rate. See cost per million reported tokens, cost per batch unit and cost to reach a published training quality target—without transferring the result to a different model or hiding the assumptions.

  • Official MLCommons source paths pinned to full commits
  • 60 raw training runs retained by SHA-256 hash
  • 3 independent submitters with provider-specific official price matches

Benchmark price snapshot:Checking the declared provider-SLA boundary.Valid through ; historical after that instant.

Transparent repricer

Change the rate, never the published result

The benchmark throughput or time stays locked. Change only the per-GPU price and optional target volume to audit the arithmetic.

Reference unit cost—
Cluster rate—
Target timeAdd a target
Target costAdd a target

Exact published system

Published reference economics

These 12 results cover 3 published systems from 3 matched cloud providers. Each result was re-priced at price-catalog generation only with the same provider, exact normalized GPU model and on demand market, then multiplied by that benchmark's published GPU count. This is a transparent reference calculation, not proof of identical topology, capacity or performance for another workload. The contributing price snapshot is valid through and remains visible as historical evidence afterward.

batchOffline

qwen3-vl-235b-a22b

$0.2229 / 1K samples

Published result
78.28 Samples/s
Reference time
12.78 s / 1K samples
System
8× NVIDIA B300-SXM-270GB
Cloud price match
Nebius AI Cloud · B300
Reference cluster rate
$62.80 / h
Reference yield @ $100 compute
448.72K samples
Purchase model
on demand
Price observed
2026-09-09 22:35 UTC
Capacity
8 GPUs available together: not verified
Evidence
1 verified result
Source revision
4d3916ac9cf4

F1_HIERARCHICAL: 0.7880721729948121

Open workload cost sheet

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batchServer

qwen3-vl-235b-a22b

$0.3864 / 1K queries

Published result
45.15 Queries/s
Reference time
22.15 s / 1K queries
System
8× NVIDIA B300-SXM-270GB
Cloud price match
Nebius AI Cloud · B300
Reference cluster rate
$62.80 / h
Reference yield @ $100 compute
258.83K queries
Purchase model
on demand
Price observed
2026-09-09 22:35 UTC
Capacity
8 GPUs available together: not verified
Evidence
1 verified result
Source revision
4d3916ac9cf4

F1_HIERARCHICAL: 0.7865237675409595

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inferenceOffline

deepseek-r1

$0.2517 / 1M reported tokens

Published result
69,318.9 Tokens/s
Reference time
14.43 s / 1M reported tokens
System
8× NVIDIA B300-SXM-270GB
Cloud price match
Nebius AI Cloud · B300
Reference cluster rate
$62.80 / h
Reference yield @ $100 compute
397.37M reported tokens
Purchase model
on demand
Price observed
2026-09-09 22:35 UTC
Capacity
8 GPUs available together: not verified
Evidence
1 verified result
Source revision
4d3916ac9cf4

exact_match: 81.58614402917047 TOKENS_PER_SAMPLE: 3722.1116681859617

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inferenceServer

deepseek-r1

$0.2888 / 1M reported tokens

Published result
60,413.4 Tokens/s
Reference time
16.55 s / 1M reported tokens
System
8× NVIDIA B300-SXM-270GB
Cloud price match
Nebius AI Cloud · B300
Reference cluster rate
$62.80 / h
Reference yield @ $100 compute
346.32M reported tokens
Purchase model
on demand
Price observed
2026-09-09 22:35 UTC
Capacity
8 GPUs available together: not verified
Evidence
1 verified result
Source revision
4d3916ac9cf4

exact_match: 81.58614402917047 TOKENS_PER_SAMPLE: 3721.7894257064722

Open workload cost sheet

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inferenceOffline

gpt-oss-120b

$0.1632 / 1M reported tokens

Published result
106,885 Tokens/s
Reference time
9.36 s / 1M reported tokens
System
8× NVIDIA B300-SXM-270GB
Cloud price match
Nebius AI Cloud · B300
Reference cluster rate
$62.80 / h
Reference yield @ $100 compute
612.72M reported tokens
Purchase model
on demand
Price observed
2026-09-09 22:35 UTC
Capacity
8 GPUs available together: not verified
Evidence
1 verified result
Source revision
4d3916ac9cf4

exact_match: 82.959

Open workload cost sheet

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inferenceServer

gpt-oss-120b

$0.1737 / 1M reported tokens

Published result
100,437 Tokens/s
Reference time
9.96 s / 1M reported tokens
System
8× NVIDIA B300-SXM-270GB
Cloud price match
Nebius AI Cloud · B300
Reference cluster rate
$62.80 / h
Reference yield @ $100 compute
575.75M reported tokens
Purchase model
on demand
Price observed
2026-09-09 22:35 UTC
Capacity
8 GPUs available together: not verified
Evidence
1 verified result
Source revision
4d3916ac9cf4

exact_match: 83.337

Open workload cost sheet

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trainingTime to train to quality target

GPT-OSS 20B pretraining

$247.5209 / reference run

Published result
1,618.96 seconds
Reference time
26.98 min to published quality target
System
64× NVIDIA Blackwell GPU (B200-SXM-180GB)
Cloud price match
CoreWeave · B200
Reference cluster rate
$550.40 / h
Reference yield @ $100 compute
0.4 reference runs
Purchase model
on demand
Price observed
2026-09-09 22:35 UTC
Capacity
64 GPUs available together: not verified
Evidence
10 verified runs
Source revision
eabf23a07b2a

C4 · 3.34 log perplexity

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trainingTime to train to quality target

Llama 3.1 8B pretraining

$151.6928 / reference run

Published result
992.18 seconds
Reference time
16.54 min to published quality target
System
64× NVIDIA Blackwell GPU (B200-SXM-180GB)
Cloud price match
CoreWeave · B200
Reference cluster rate
$550.40 / h
Reference yield @ $100 compute
0.66 reference runs
Purchase model
on demand
Price observed
2026-09-09 22:35 UTC
Capacity
64 GPUs available together: not verified
Evidence
10 verified runs
Source revision
eabf23a07b2a

C4 · 3.3 log perplexity

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trainingTime to train to quality target

GPT-OSS 20B pretraining

$87.3772 / reference run

Published result
5,008.89 seconds
Reference time
83.48 min to published quality target
System
8× NVIDIA Blackwell Ultra GPU (B300-SXM-270GB)
Cloud price match
Nebius AI Cloud · B300
Reference cluster rate
$62.80 / h
Reference yield @ $100 compute
1.14 reference runs
Purchase model
on demand
Price observed
2026-09-09 22:35 UTC
Capacity
8 GPUs available together: not verified
Evidence
10 verified runs
Source revision
eabf23a07b2a

C4 · 3.34 log perplexity

Open workload cost sheet

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trainingTime to train to quality target

GPT-OSS 20B pretraining

$86.0397 / reference run

Published result
5,787.43 seconds
Reference time
96.46 min to published quality target
System
8× NVIDIA Blackwell GPU (B200-SXM-180GB)
Cloud price match
Lambda · B200
Reference cluster rate
$53.52 / h
Reference yield @ $100 compute
1.16 reference runs
Purchase model
on demand
Price observed
2026-09-09 22:35 UTC
Capacity
8 GPUs available together: not verified
Evidence
10 verified runs
Source revision
eabf23a07b2a

C4 · 3.34 log perplexity

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trainingTime to train to quality target

Llama 3.1 8B pretraining

$76.0547 / reference run

Published result
5,115.79 seconds
Reference time
85.26 min to published quality target
System
8× NVIDIA Blackwell GPU (B200-SXM-180GB)
Cloud price match
Lambda · B200
Reference cluster rate
$53.52 / h
Reference yield @ $100 compute
1.31 reference runs
Purchase model
on demand
Price observed
2026-09-09 22:35 UTC
Capacity
8 GPUs available together: not verified
Evidence
10 verified runs
Source revision
eabf23a07b2a

C4 · 3.3 log perplexity

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trainingTime to train to quality target

Llama 3.1 8B pretraining

$75.3729 / reference run

Published result
4,320.74 seconds
Reference time
72.01 min to published quality target
System
8× NVIDIA Blackwell Ultra GPU (B300-SXM-270GB)
Cloud price match
Nebius AI Cloud · B300
Reference cluster rate
$62.80 / h
Reference yield @ $100 compute
1.33 reference runs
Purchase model
on demand
Price observed
2026-09-09 22:35 UTC
Capacity
8 GPUs available together: not verified
Evidence
10 verified runs
Source revision
eabf23a07b2a

C4 · 3.3 log perplexity

Open workload cost sheet

Inspect source evidence ↗

Evidence boundary

What this proves—and what it does not

These are results for 3 exact published systems from3 independent MLPerf submitters, each with a named model, scenario, software stack, topology and quality result. The economics layer selects only the same provider and exact normalized GPU model, then multiplies that provider's per-GPU rate valid at price-catalog generation rate by the GPU count of the published system. After the displayed price-snapshot deadline, that derived result is historical evidence.

ReproducibleFull repository commit, source paths, raw-run hashes and aggregation method.
Published price joinSame provider, GPU family and on-demand market at price-catalog generation; pricing evidence keeps its own exact deadline.
Honest uncertaintyNo claim about immediate eight-GPU capacity, storage, transfer, queueing or another workload.

Machine-readable evidence

Audit or reuse the full dataset