BitdepthIndependent grades for inference endpoints
openai/gpt-oss-120b · 29 endpoints

gpt-oss-120b

On gpt-oss-120b, the cheapest endpoint that matches the reference is primeintellect/fp4 at $0.090 per million output tokens. 1 of 29 endpoints sit outside the reference.

Last run Nov 11, 2026
14 nights measured
26
match the reference
2
first look, not yet ranked
1
outside the reference
The board

Every endpoint, named.

#EndpointDeclaredExact matchSelf-agreeNightsDrift$ in / out per MQuality-adjustedState
1primeintellect/fp4fp496.0%95.2%9stable$0.042 / $0.090$0.056Matches reference
2near-ai/fp4fp496.1%94.4%14stable$0.030 / $0.15$0.062Matches reference
3coreweave/fp4fp494.9%93.0%14stable$0.030 / $0.17$0.068Matches reference
4dekallm/bf16bf1696.4%94.4%14stable$0.030 / $0.18$0.070Matches reference
5deepinfra/bf16bf1696.8%96.2%14stable$0.037 / $0.17$0.073Matches reference
6crusoe/bf16bf1697.8%96.0%14stable$0.050 / $0.25$0.10Matches reference
7mancer/fp8fp895.7%93.8%14stable$0.055 / $0.25$0.11Matches reference
8sail-research/fp4fp496.1%94.5%14stable$0.060 / $0.40$0.15Matches reference
9digitaloceanunknown92.1%89.2%14stable$0.060 / $0.42$0.16Matches reference
10google-vertex/globalunknown94.2%93.0%14stable$0.090 / $0.36$0.17Matches reference
11baseten/fp4fp498.0%97.8%14stable$0.10 / $0.50$0.20Matches reference
12baseten/fp4/usfp497.4%97.2%14stable$0.10 / $0.50$0.21Matches reference
13togetherunknown97.2%97.4%14stable$0.15 / $0.60$0.27Matches reference
14groqunknown96.8%98.5%14stable$0.15 / $0.60$0.27Matches reference
15amazon-bedrock/eu-west-1unknown96.3%94.6%14stable$0.15 / $0.60$0.27Matches reference
16parasail/fp4fp496.3%94.0%14stable$0.10 / $0.75$0.27Matches reference
17amazon-bedrockunknown96.1%94.0%14stable$0.15 / $0.60$0.27Matches reference
18nebius/fp4fp495.8%94.4%14stable$0.15 / $0.60$0.27Matches reference
19siliconflow/fp8fp895.4%95.3%14stable$0.15 / $0.60$0.28Matches reference
20sambanovaunknown97.1%95.8%14stable$0.14 / $0.95$0.35Matches reference
21deepinfra/fp8fp897.4%95.7%11stable$0.20 / $0.95$0.40Matches reference
22cerebras/fp16fp1697.9%98.1%14stable$0.35 / $0.75$0.46Matches reference
23maraunknown97.1%96.7%9stablen/a / n/an/aMatches reference, not listed since Nov 4
24akashml/bf16bf1695.8%93.7%8stablen/a / n/an/aMatches reference, not listed since Nov 3
25phalaunknown93.5%92.4%13stablen/a / n/an/aMatches reference
26novita/fp4fp492.6%90.6%7stablen/a / n/an/aMatches reference, not listed since Nov 2
First look: fewer than 7 nights, not ranked
akashml/fp4fp494.8%93.3%6stable$0.030 / $0.19$0.073First look, 6 nights
parasail/fastfp496.4%91.2%5stable$0.15 / $0.75$0.31First look, 5 nights
Outside the reference
venice/int4int485.8%80.2%14worsening$0.030 / $0.15$0.070Outside reference

Cite: Bitdepth · bitdepth.dev/m/gpt-oss-120b · as of Nov 11, 2026

Reference: plurality among endpoints declaring bf16 or fp16. State rule: outside when self-agreement exceeds agreement with the reference by more than 15 points, or when the endpoint's mean on the model's first primary column is more than 8 points below the median of endpoints with 7+ nights; no_data under 7 nights; stale when the data is more than 3 days old.

Price against agreement

Cheap and wrong sits low on the left.

Each dot is one endpoint. Across: blended price per million tokens. Up: agreement with the reference.

Matches referenceFirst lookOutside reference
Blended price against agreement with the reference for 25 endpoints serving gpt-oss-120b.75%85%95%$0$0.1$0.2$0.3$0.4$0.5Blended price per million tokensbaseten/fp4: $0.20 blended, 98.0%cerebras/fp16: $0.45 blended, 97.9%crusoe/bf16: $0.10 blended, 97.8%baseten/fp4/us: $0.20 blended, 97.4%deepinfra/fp8: $0.39 blended, 97.4%together: $0.26 blended, 97.2%sambanova: $0.34 blended, 97.1%deepinfra/bf16: $0.070 blended, 96.8%groq: $0.26 blended, 96.8%dekallm/bf16: $0.068 blended, 96.4%parasail/fast: $0.30 blended, 96.4%amazon-bedrock/eu-west-1: $0.26 blended, 96.3%parasail/fp4: $0.26 blended, 96.3%amazon-bedrock: $0.26 blended, 96.1%near-ai/fp4: $0.060 blended, 96.1%near-aisail-research/fp4: $0.15 blended, 96.1%primeintellect/fp4: $0.054 blended, 96.0%primeintellectnebius/fp4: $0.26 blended, 95.8%mancer/fp8: $0.10 blended, 95.7%siliconflow/fp8: $0.26 blended, 95.4%coreweave/fp4: $0.065 blended, 94.9%coreweaveakashml/fp4: $0.069 blended, 94.8%google-vertex/global: $0.16 blended, 94.2%digitalocean: $0.15 blended, 92.1%venice/int4: $0.060 blended, 85.8%venice

Cite: Bitdepth · bitdepth.dev/m/gpt-oss-120b#price · as of Nov 11, 2026

Night by night

Does an endpoint change?

Exact match with the reference each night, one line per endpoint. × marks a night with no row.

Matches referenceFirst lookOutside reference
Exact match with the reference each night for 29 endpoints serving gpt-oss-120b.60708090100Oct 27Nov 4Nov 11baseten/fp4baseten/fp4cerebras/fp16cerebras/fp16crusoe/bf16crusoe/bf16baseten/fp4/usbaseten/fp4/usdeepinfra/fp8deepinfra/fp8togethertogethermarasambanovasambanovadeepinfra/bf16deepinfra/bf16groqgroqdekallm/bf16dekallm/bf16amazon-bedrock/eu-west-1amazon-bedrock/eu-west-1parasail/fp4parasail/fp4amazon-bedrockamazon-bedrocknear-ai/fp4near-ai/fp4sail-research/fp4sail-research/fp4primeintellect/fp4primeintellect/fp4akashml/bf16nebius/fp4nebius/fp4mancer/fp8mancer/fp8siliconflow/fp8siliconflow/fp8coreweave/fp4coreweave/fp4google-vertex/globalgoogle-vertex/globalphalanovita/fp4digitaloceandigitaloceanparasail/fastparasail/fastakashml/fp4akashml/fp4venice/int4venice/int4×

Cite: Bitdepth · bitdepth.dev/m/gpt-oss-120b#nightly · as of Nov 11, 2026

For providers

Graded by Bitdepth.

An endpoint that matches the reference can show this badge on its docs or pricing page. It links back to its row here, and it updates every night.

Graded by Bitdepth badge sample

Badge code for a matching endpoint, after the first ranked read:

<a href="https://bitdepth.dev/m/gpt-oss-120b"><img src="https://bitdepth.dev/badge/gpt-oss-120b/PROVIDER.svg" alt="Graded by Bitdepth"></a>
Method

How this page is measured.

The reference

For each model, the answer most endpoints declaring full precision (bf16 or fp16) give at temperature zero. Where fewer than two declare it, the plurality answer across all endpoints. Method.

Agreement and self-agreement

Agreement is how often an endpoint gives the reference answer. Self-agreement is how often it gives its own answer twice. An endpoint that agrees with itself far more than with the reference is serving something different.

How rank works

Endpoints that match the reference are ranked by quality-adjusted price: the blended price, (3 × input + output) ÷ 4 per million tokens, divided by agreement. A cheap endpoint that misses the reference is never shown as the cheapest.

First look

An endpoint needs 7 nights before it is ranked. Until then it shows its night count and its numbers, with no rank.

Drift

The mean of the last three nights against the first three. A move of more than 10 points reads as improving or worsening; anything smaller is stable.

How to cite

Every chart and table carries a cite line with the date. Copy it with the figure. Wrong model name or missing endpoint? Tell us.

Numbers against a stated reference. Not a claim about intent.Listed prices from OpenRouter, read nightly; grades are Bitdepth's.