Which is cheaper, GPT-4o mini or Granite 3.3 8B Instruct?
As of August 25, 2026, GPT-4o mini is 25% cheaper on blended LLM API pricing. GPT-4o mini costs $0.15 per million input tokens and $0.60 per million output tokens ($0.75 blended 1M-in + 1M-out). Granite 3.3 8B Instruct costs $0.50 / $0.50 per million tokens ($1.00 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-4o mini vs Granite 3.3 8B Instruct cost per million tokens?
GPT-4o mini OpenAI API pricing is $0.15 input and $0.60 output per million tokens via OpenAI. Granite 3.3 8B Instruct IBM API pricing is $0.50 input and $0.50 output per million tokens via IBM. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, GPT-4o mini or Granite 3.3 8B Instruct?
GPT-4o mini has a published SWE-bench Verified score of 8.7%. Granite 3.3 8B Instruct does not have that eval on this page yet.
What is the context window for GPT-4o mini vs Granite 3.3 8B Instruct?
GPT-4o mini supports a 128K token context window, while Granite 3.3 8B Instruct supports 128K tokens. Both models have the same context window size. 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-4o mini or Granite 3.3 8B Instruct?
GPT-4o mini leads on 4 of 5 shared benchmarks versus Granite 3.3 8B Instruct's 1 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-4o mini or Granite 3.3 8B Instruct better for production use?
Both GPT-4o mini and Granite 3.3 8B Instruct are production API models. For cost-sensitive production traffic, GPT-4o mini 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-4o mini and Granite 3.3 8B Instruct in my app?
Yes. Call GPT-4o mini through OpenAI and Granite 3.3 8B Instruct through IBM 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-4o mini vs Granite 3.3 8B Instruct pricing data?
List rates are the latest published OpenAI API pricing and IBM 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-4o mini and Granite 3.3 8B Instruct?
GPT-4o mini supports up to 16K output tokens per request, while Granite 3.3 8B Instruct supports up to 8K 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-4o mini or Granite 3.3 8B Instruct?
GPT-4o mini runs at approximately 92 tokens/second while Granite 3.3 8B Instruct runs at 50 tokens/second. GPT-4o mini is faster in raw throughput. 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-4o mini vs Granite 3.3 8B Instruct comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GPT-4o mini or Granite 3.3 8B Instruct from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
