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Comparisons /

Arize AI Qwen 2 1.5B Instruct vs OpenAI GPT-OSS 20B

On provider list prices, Arize AI Qwen 2 1.5B Instruct costs $0.10 per million input tokens against $0.05 for OpenAI GPT-OSS 20B: effectively level. Output is $0.10 against $0.20 (2.0x).

A Arize AI Qwen 2 1.5B Instruct OpenAI GPT-OSS 20B
LabTogethercomputerOpenAI
AccessOpen weightsOpen weights
Context window32K tokens128K tokens
List price, input$0.1 / M tokens$0.05 / M tokens
List price, output$0.1 / M tokens$0.2 / M tokens
Cached inputn/an/a
LicenseNot listedApache 2.0
Fine-tunableYesYes

Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.

What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $130 a month on OpenAI GPT-OSS 20B and $155 on Arize AI Qwen 2 1.5B Instruct at list: a gap of $25, or 1.2x.

OpenAI GPT-OSS 20B reads 128K tokens per request against 32K for Arize AI Qwen 2 1.5B Instruct, 4.0x the window. That decides which one can take whole documents without splitting them.

OpenAI GPT-OSS 20B$0.05$0.20
Arize AI Qwen 2 1.5B Instruct$0.10$0.10
InputOutput

Choose Arize AI Qwen 2 1.5B Instruct for

  • Training toward a model you own
Arize AI Qwen 2 1.5B Instruct details →

Choose OpenAI GPT-OSS 20B for

  • The lower list price ($0.05 in / $0.20 out per M tokens)
  • The longer context window (128K vs 32K tokens)
  • Fine-tuning under a permissive license (Apache 2.0)
OpenAI GPT-OSS 20B details →

Common questions

Which is cheaper, Arize AI Qwen 2 1.5B Instruct or OpenAI GPT-OSS 20B?

OpenAI GPT-OSS 20B, on this workload shape. At list prices it is $0.05/$0.20 per million tokens in and out against $0.10/$0.10 for Arize AI Qwen 2 1.5B Instruct. Billed on Allocate: $0.053/$0.21 against $0.11/$0.11.

Which has the bigger context window?

OpenAI GPT-OSS 20B: 131,072 tokens (128K) against 32,768 (32K) for Arize AI Qwen 2 1.5B Instruct.

Can I fine-tune Arize AI Qwen 2 1.5B Instruct or OpenAI GPT-OSS 20B?

Both publish open weights (Arize AI Qwen 2 1.5B Instruct: Not listed; OpenAI GPT-OSS 20B: Apache 2.0), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

Related comparisons

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Run the numbers on your workload

LLM price comparisonAgent cost calculatorArize AI Qwen 2 1.5B InstructOpenAI GPT-OSS 20B

Or do not choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.

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