gpt-oss-120b vs Qwen3.8 Max Prime
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 131 K tokens
- Max output
- 118 K
- Input, $ per 1M tokens
- ▲$0.037
- Output, $ per 1M tokens
- ▲$0.170
- Cache read, $ per 1M
- —
- Batch (input / output)
- $0.030 / $0.136
- Tool calling
- Yes
- Released
- 08/05/2025
- Knowledge cutoff
- —
- API id
- openai/gpt-oss-120b
Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- ▲131 K
- Input, $ per 1M tokens
- $4.00
- Output, $ per 1M tokens
- $12.00
- Cache read, $ per 1M
- $0.500
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- ▲09/23/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.8-max-prime
Which is the better API choice: gpt-oss-120b vs Qwen3.8 Max Prime?
- gpt-oss-120b: cheapest input (99% less than Qwen3.8 Max Prime)
- gpt-oss-120b: cheapest output
- Qwen3.8 Max Prime: largest context (1 M)
- Qwen3.8 Max Prime: the newest (09/23/2026)
gpt-oss-120b costs 99% less on input and 99% less on output than Qwen3.8 Max Prime ($0.037 / $0.170 versus $4.00 / $12.00 per million tokens). Qwen3.8 Max Prime accepts more context (1 M). On capabilities, Qwen3.8 Max Prime accepts images. gpt-oss-120b offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With gpt-oss-120b you save $106.77 a month versus Qwen3.8 Max Prime (99% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1gpt-oss-120b OpenAI$0.003
- 2Claude Sonnet 5.5 Anthropic$0.152
- 3Claude Sonnet 5 Anthropic$0.152
- 4Qwen3.8 Max Prime Qwen$0.304
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: gpt-oss-120b vs Qwen3.8 Max Prime?
gpt-oss-120b costs 99% less on input and 99% less on output than Qwen3.8 Max Prime ($0.037 / $0.170 versus $4.00 / $12.00 per million tokens). Qwen3.8 Max Prime accepts more context (1 M). On capabilities, Qwen3.8 Max Prime accepts images. gpt-oss-120b offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: gpt-oss-120b and Qwen3.8 Max Prime?
gpt-oss-120b is cheaper: $0.037 per million input tokens and $0.170 per million output tokens, versus $4.00 / $12.00 for Qwen3.8 Max Prime.
Which has more context: gpt-oss-120b and Qwen3.8 Max Prime?
Qwen3.8 Max Prime accepts 1 M tokens of context; gpt-oss-120b accepts 131 K.
Which is newer: gpt-oss-120b and Qwen3.8 Max Prime?
Qwen3.8 Max Prime was released on 09/23/2026; gpt-oss-120b on 08/05/2025.
What would 10,000 requests a month cost with gpt-oss-120b and Qwen3.8 Max Prime?
With 1,500 input and 400 output tokens per request: gpt-oss-120b: $1.24; Qwen3.8 Max Prime: $108.00 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.