Which is cheaper, Gemma 3n E4B Instructed or Kimi-k1.5?
As of August 30, 2026, Kimi-k1.5 is 96% cheaper on blended LLM API pricing. Kimi-k1.5 costs $0.15 per million input tokens and $2.50 per million output tokens ($2.65 blended 1M-in + 1M-out). Gemma 3n E4B Instructed costs $20.00 / $40.00 per million tokens ($60.00 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://platform.moonshot.ai/docs/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Gemma 3n E4B Instructed vs Kimi-k1.5 cost per million tokens?
Gemma 3n E4B Instructed Gemini API pricing is $20.00 input and $40.00 output per million tokens via Google. Kimi-k1.5 Moonshot AI API pricing is $0.15 input and $2.50 output per million tokens via Moonshot AI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Gemma 3n E4B Instructed or Kimi-k1.5?
Gemma 3n E4B Instructed has a published LiveCodeBench score of 13.2%. Kimi-k1.5 does not have that eval on this page yet.
What is the context window for Gemma 3n E4B Instructed vs Kimi-k1.5?
Gemma 3n E4B Instructed supports a 32K token context window, while Kimi-k1.5 supports 128K tokens. Kimi-k1.5 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, Gemma 3n E4B Instructed or Kimi-k1.5?
Kimi-k1.5 leads on 1 of 1 shared benchmarks versus Gemma 3n E4B Instructed'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 Gemma 3n E4B Instructed or Kimi-k1.5 better for production use?
Both Gemma 3n E4B Instructed and Kimi-k1.5 are production API models. For cost-sensitive production traffic, Kimi-k1.5 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 Gemma 3n E4B Instructed and Kimi-k1.5 in my app?
Yes. Call Gemma 3n E4B Instructed through Google and Kimi-k1.5 through Moonshot AI 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 Gemma 3n E4B Instructed vs Kimi-k1.5 pricing data?
List rates are the latest published Gemini API pricing and Moonshot AI API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-api/docs/pricing and https://platform.moonshot.ai/docs/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 Gemma 3n E4B Instructed and Kimi-k1.5?
Gemma 3n E4B Instructed supports up to 32K output tokens per request, while Kimi-k1.5 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, Gemma 3n E4B Instructed or Kimi-k1.5?
Gemma 3n E4B Instructed has a measured throughput of approximately 42.1 tokens/second. Throughput data for Kimi-k1.5 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 Gemma 3n E4B Instructed vs Kimi-k1.5 comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Gemma 3n E4B Instructed or Kimi-k1.5 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
