Which is cheaper, GPT-5.1 Codex Mini or MiMo-V2-Omni?
As of August 30, 2026, MiMo-V2-Omni is 81% cheaper on blended LLM API pricing. MiMo-V2-Omni costs $0.14 per million input tokens and $0.28 per million output tokens ($0.42 blended 1M-in + 1M-out). GPT-5.1 Codex Mini costs $0.25 / $2.00 per million tokens ($2.25 blended). Sources: https://developers.openai.com/api/docs/pricing and https://openrouter.ai/xiaomi/mimo-v2.5. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does GPT-5.1 Codex Mini vs MiMo-V2-Omni cost per million tokens?
GPT-5.1 Codex Mini OpenAI API pricing is $0.25 input and $2.00 output per million tokens via OpenAI. MiMo-V2-Omni OpenRouter API pricing is $0.14 input and $0.28 output per million tokens via OpenRouter. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, GPT-5.1 Codex Mini or MiMo-V2-Omni?
MiMo-V2-Omni has a published SWE-bench Verified score of 74.8%. GPT-5.1 Codex Mini does not have that eval on this page yet.
What is the context window for GPT-5.1 Codex Mini vs MiMo-V2-Omni?
GPT-5.1 Codex Mini supports a 400K token context window, while MiMo-V2-Omni supports 262K tokens. GPT-5.1 Codex Mini 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-5.1 Codex Mini or MiMo-V2-Omni?
Shared benchmark scores for GPT-5.1 Codex Mini and MiMo-V2-Omni are still limited. Check the comparison table for the evals each model has published. 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-5.1 Codex Mini or MiMo-V2-Omni better for production use?
Both GPT-5.1 Codex Mini and MiMo-V2-Omni are production API models. For cost-sensitive production traffic, MiMo-V2-Omni 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-5.1 Codex Mini and MiMo-V2-Omni in my app?
Yes. Call GPT-5.1 Codex Mini through OpenAI and MiMo-V2-Omni through OpenRouter 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-5.1 Codex Mini vs MiMo-V2-Omni pricing data?
List rates are the latest published OpenAI API pricing and OpenRouter API pricing, quoted per million tokens. Official rate sheets: https://developers.openai.com/api/docs/pricing and https://openrouter.ai/xiaomi/mimo-v2.5. 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-5.1 Codex Mini and MiMo-V2-Omni?
GPT-5.1 Codex Mini supports up to 128K output tokens per request, while MiMo-V2-Omni supports up to 16K 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-5.1 Codex Mini or MiMo-V2-Omni?
GPT-5.1 Codex Mini has a measured throughput of approximately 200 tokens/second. Throughput data for MiMo-V2-Omni is not yet available. 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-5.1 Codex Mini vs MiMo-V2-Omni comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GPT-5.1 Codex Mini or MiMo-V2-Omni from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
