Which is cheaper, Granite 3.3 8B Instruct or Phi 4 Mini?
As of August 25, 2026, Phi 4 Mini is 57% cheaper on blended LLM API pricing. Phi 4 Mini costs $0.08 per million input tokens and $0.35 per million output tokens ($0.43 blended 1M-in + 1M-out). Granite 3.3 8B Instruct costs $0.50 / $0.50 per million tokens ($1.00 blended). Sources: https://anotherwrapper.com/tools/llm-pricing and https://openrouter.ai/api/v1/models. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Granite 3.3 8B Instruct vs Phi 4 Mini cost per million tokens?
Granite 3.3 8B Instruct IBM API pricing is $0.50 input and $0.50 output per million tokens via IBM. Phi 4 Mini OpenRouter API pricing is $0.08 input and $0.35 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, Granite 3.3 8B Instruct or Phi 4 Mini?
Granite 3.3 8B Instruct has a published HumanEval score of 89.7%. Phi 4 Mini does not have that eval on this page yet.
What is the context window for Granite 3.3 8B Instruct vs Phi 4 Mini?
Granite 3.3 8B Instruct supports a 128K token context window, while Phi 4 Mini supports 131K tokens. Phi 4 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, Granite 3.3 8B Instruct or Phi 4 Mini?
Phi 4 Mini leads on 3 of 5 shared benchmarks versus Granite 3.3 8B Instruct's 2 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 Granite 3.3 8B Instruct or Phi 4 Mini better for production use?
Both Granite 3.3 8B Instruct and Phi 4 Mini are production API models. For cost-sensitive production traffic, Phi 4 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 Granite 3.3 8B Instruct and Phi 4 Mini in my app?
Yes. Call Granite 3.3 8B Instruct through IBM and Phi 4 Mini 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 Granite 3.3 8B Instruct vs Phi 4 Mini pricing data?
List rates are the latest published IBM API pricing and OpenRouter API pricing, quoted per million tokens. Official rate sheets: https://anotherwrapper.com/tools/llm-pricing and https://openrouter.ai/api/v1/models. 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 Granite 3.3 8B Instruct and Phi 4 Mini?
Granite 3.3 8B Instruct supports up to 8K output tokens per request, while Phi 4 Mini 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, Granite 3.3 8B Instruct or Phi 4 Mini?
Granite 3.3 8B Instruct has a measured throughput of approximately 50 tokens/second. Throughput data for Phi 4 Mini 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 Granite 3.3 8B Instruct vs Phi 4 Mini comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Granite 3.3 8B Instruct or Phi 4 Mini from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
