Which is cheaper, Gemma 2 27B or LongCat-Flash-Thinking?
As of August 25, 2026, Gemma 2 27B is 13% cheaper on blended LLM API pricing. Gemma 2 27B costs $0.65 per million input tokens and $0.65 per million output tokens ($1.30 blended 1M-in + 1M-out). LongCat-Flash-Thinking costs $0.30 / $1.20 per million tokens ($1.50 blended). Sources: https://ai.google.dev/gemini-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 Gemma 2 27B vs LongCat-Flash-Thinking cost per million tokens?
Gemma 2 27B Gemini API pricing is $0.65 input and $0.65 output per million tokens via OpenRouter. LongCat-Flash-Thinking Meituan API pricing is $0.30 input and $1.20 output per million tokens via Meituan. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Gemma 2 27B or LongCat-Flash-Thinking?
LongCat-Flash-Thinking has a published SWE-bench Verified score of 59.4%. Gemma 2 27B does not have that eval on this page yet.
What is the context window for Gemma 2 27B vs LongCat-Flash-Thinking?
Gemma 2 27B supports a 8K token context window, while LongCat-Flash-Thinking supports 128K tokens. LongCat-Flash-Thinking 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 2 27B or LongCat-Flash-Thinking?
LongCat-Flash-Thinking leads on 1 of 1 shared benchmarks versus Gemma 2 27B'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 2 27B or LongCat-Flash-Thinking better for production use?
Both Gemma 2 27B and LongCat-Flash-Thinking are production API models. For cost-sensitive production traffic, Gemma 2 27B 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 2 27B and LongCat-Flash-Thinking in my app?
Yes. Call Gemma 2 27B through OpenRouter and LongCat-Flash-Thinking through Meituan 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 2 27B vs LongCat-Flash-Thinking pricing data?
List rates are the latest published Gemini API pricing and Meituan API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-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 Gemma 2 27B and LongCat-Flash-Thinking?
Gemma 2 27B supports up to an unspecified number of output tokens per request, while LongCat-Flash-Thinking supports up to 128K 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 2 27B or LongCat-Flash-Thinking?
LongCat-Flash-Thinking has a measured throughput of approximately 100 tokens/second. Throughput data for Gemma 2 27B 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 2 27B vs LongCat-Flash-Thinking comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Gemma 2 27B or LongCat-Flash-Thinking from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
