GPT OSS 120B vs MiniMax M3.1 Flash
As of November 12, 2026, MiniMax M3.1 Flash costs 400% more per input token than GPT OSS 120B ($0.15 vs $0.03 per 1M) and has a 1M-token context window versus 131K.
GPT OSS 120B vs MiniMax M3.1 Flash side by side
| GPT OSS 120B | MiniMax M3.1 Flash | |
|---|---|---|
| Input, per 1M tokens | $0.03 | $0.15 |
| Output, per 1M tokens | $0.17 | $0.60 |
| Cache read, per 1M tokens | – | $0.015 |
| Cache write, per 1M tokens | – | – |
| Context window | 131,000 tokens | 1,000,000 tokens |
| Max output | 131,072 tokens | 524,288 tokens |
| Image input | – | Yes |
| Tool calling | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| Prompt caching | Yes | Yes |
| Reasoning | Yes | Yes |
| Providers on LiteLLM | 28 | 9 |
| Price shown is from | Weights & Biases | MiniMax |
| Added to LiteLLM | August 2025 | October 19, 2026 |
Cheapest provider for each
- GPT OSS 120B: Weights & Biases at $0.03 input and $0.17 output per 1M tokens (
wandb/openai/gpt-oss-120b) - MiniMax M3.1 Flash: Refuseless at $0.05 input and $0.25 output per 1M tokens (
refuseless/minimax-m3.1-flash)
When to pick which
Pick GPT OSS 120B for
- Costs 80% less per input token: $0.03 vs $0.15 per 1M.
- Available from 28 providers through LiteLLM, vs 9.
Pick MiniMax M3.1 Flash for
- Larger context window: 1,000,000 vs 131,000 tokens.
- Returns up to 524,288 tokens per response, vs 131,072.
From differences in the data above only; where the data is equal, no reason is given.
Call GPT OSS 120B or MiniMax M3.1 Flash with LiteLLM
Both use the OpenAI format through LiteLLM, so switching is a model name change. Set each provider's API key in the environment first.
from litellm import completion
messages = [{"role": "user", "content": "Hello!"}]
# GPT OSS 120B
response = completion(model="wandb/openai/gpt-oss-120b", messages=messages)
# MiniMax M3.1 Flash
response = completion(model="minimax/MiniMax-M3.1-Flash", messages=messages)
# GPT OSS 120B, falling back to MiniMax M3.1 Flash if the call fails
response = completion(model="wandb/openai/gpt-oss-120b", messages=messages, fallbacks=["minimax/MiniMax-M3.1-Flash"])FAQ
Which is cheaper, GPT OSS 120B or MiniMax M3.1 Flash?
GPT OSS 120B is cheaper at 3 input tokens per output token: $0.065 per 1M tokens blended ($0.03 input, $0.17 output), versus $0.2625 ($0.15 and $0.60) for MiniMax M3.1 Flash, as of November 12, 2026.
Which has the larger context window, GPT OSS 120B or MiniMax M3.1 Flash?
MiniMax M3.1 Flash has the larger context window: 1,000,000 tokens, versus 131,000 for GPT OSS 120B.
Can I switch from GPT OSS 120B to MiniMax M3.1 Flash without changing my code?
Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "wandb/openai/gpt-oss-120b" to "minimax/MiniMax-M3.1-Flash", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.