Which is cheaper, GPT-5.5 Pro or MiniMax M3?
As of August 20, 2026, MiniMax M3 is 100% cheaper on blended LLM API pricing. MiniMax M3 costs $0.30 per million input tokens and $1.20 per million output tokens ($1.50 blended 1M-in + 1M-out). GPT-5.5 Pro costs $60.00 / $480.00 per million tokens ($540.00 blended). Sources: https://developers.openai.com/api/docs/pricing and https://anotherwrapper.com/tools/llm-pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does GPT-5.5 Pro vs MiniMax M3 cost per million tokens?
GPT-5.5 Pro OpenAI API pricing is $60.00 input and $480.00 output per million tokens via OpenAI. MiniMax M3 MiniMax API pricing is $0.30 input and $1.20 output per million tokens via MiniMax. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, GPT-5.5 Pro or MiniMax M3?
MiniMax M3 has a published SWE-bench Verified score of 80.5%. GPT-5.5 Pro does not have that eval on this page yet.
What is the context window for GPT-5.5 Pro vs MiniMax M3?
GPT-5.5 Pro supports a 1M token context window, while MiniMax M3 supports 1M tokens. GPT-5.5 Pro offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Which model performs better on benchmarks, GPT-5.5 Pro or MiniMax M3?
GPT-5.5 Pro leads on 3 of 3 shared benchmarks versus MiniMax M3's 0 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Is GPT-5.5 Pro or MiniMax M3 better for production use?
Both GPT-5.5 Pro and MiniMax M3 are production API models. For cost-sensitive production traffic, MiniMax M3 has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Can I switch between GPT-5.5 Pro and MiniMax M3 in my app?
Yes. Call GPT-5.5 Pro through OpenAI and MiniMax M3 through MiniMax with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
How accurate is this GPT-5.5 Pro vs MiniMax M3 pricing data?
List rates are the latest published OpenAI API pricing and MiniMax API pricing, quoted per million tokens. Official rate sheets: https://developers.openai.com/api/docs/pricing and https://anotherwrapper.com/tools/llm-pricing. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
What is the output token limit for GPT-5.5 Pro and MiniMax M3?
GPT-5.5 Pro supports up to 128K output tokens per request, while MiniMax M3 supports up to 131K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Which model has better throughput, GPT-5.5 Pro or MiniMax M3?
Neither GPT-5.5 Pro nor MiniMax M3 has published throughput data on this page yet. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
How do I switch the models in this GPT-5.5 Pro vs MiniMax M3 comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GPT-5.5 Pro or MiniMax M3 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
