Which is cheaper, GPT-5.1 Codex High or IBM Granite 4.0 Tiny Preview?
As of August 30, 2026, IBM Granite 4.0 Tiny Preview is 99% cheaper on blended LLM API pricing. IBM Granite 4.0 Tiny Preview costs $0.02 per million input tokens and $0.11 per million output tokens ($0.13 blended 1M-in + 1M-out). GPT-5.1 Codex High costs $1.25 / $10.00 per million tokens ($11.25 blended). Sources: https://developers.openai.com/api/docs/pricing and https://openrouter.ai/ibm-granite/granite-4.0-h-micro. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does GPT-5.1 Codex High vs IBM Granite 4.0 Tiny Preview cost per million tokens?
GPT-5.1 Codex High OpenAI API pricing is $1.25 input and $10.00 output per million tokens via OpenAI. IBM Granite 4.0 Tiny Preview OpenRouter API pricing is $0.02 input and $0.11 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 High or IBM Granite 4.0 Tiny Preview?
IBM Granite 4.0 Tiny Preview has a published HumanEval score of 82.4%. GPT-5.1 Codex High does not have that eval on this page yet.
What is the context window for GPT-5.1 Codex High vs IBM Granite 4.0 Tiny Preview?
GPT-5.1 Codex High supports a 400K token context window, while IBM Granite 4.0 Tiny Preview supports 131K tokens. GPT-5.1 Codex High 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 High or IBM Granite 4.0 Tiny Preview?
Shared benchmark scores for GPT-5.1 Codex High and IBM Granite 4.0 Tiny Preview 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 High or IBM Granite 4.0 Tiny Preview better for production use?
Both GPT-5.1 Codex High and IBM Granite 4.0 Tiny Preview are production API models. For cost-sensitive production traffic, IBM Granite 4.0 Tiny Preview 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 High and IBM Granite 4.0 Tiny Preview in my app?
Yes. Call GPT-5.1 Codex High through OpenAI and IBM Granite 4.0 Tiny Preview 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 High vs IBM Granite 4.0 Tiny Preview 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/ibm-granite/granite-4.0-h-micro. 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 High and IBM Granite 4.0 Tiny Preview?
GPT-5.1 Codex High supports up to 128K output tokens per request, while IBM Granite 4.0 Tiny Preview supports up to an unspecified number of 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 High or IBM Granite 4.0 Tiny Preview?
GPT-5.1 Codex High has a measured throughput of approximately 50 tokens/second. Throughput data for IBM Granite 4.0 Tiny Preview 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 High vs IBM Granite 4.0 Tiny Preview 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 High or IBM Granite 4.0 Tiny Preview from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
