Which is cheaper, GPT-3.5 Turbo or Qwen3.7 Flash?
As of August 20, 2026, Qwen3.7 Flash is 92% cheaper on blended LLM API pricing. Qwen3.7 Flash costs $0.03 per million input tokens and $0.13 per million output tokens ($0.16 blended 1M-in + 1M-out). GPT-3.5 Turbo costs $0.50 / $1.50 per million tokens ($2.00 blended). Sources: https://developers.openai.com/api/docs/pricing and https://www.qwencloud.com/models/qwen3.7-flash. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does GPT-3.5 Turbo vs Qwen3.7 Flash cost per million tokens?
GPT-3.5 Turbo OpenAI API pricing is $0.50 input and $1.50 output per million tokens via OpenAI. Qwen3.7 Flash Qwen API pricing is $0.03 input and $0.13 output per million tokens via Qwen. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, GPT-3.5 Turbo or Qwen3.7 Flash?
GPT-3.5 Turbo has a published HumanEval score of 68%. Qwen3.7 Flash does not have that eval on this page yet.
What is the context window for GPT-3.5 Turbo vs Qwen3.7 Flash?
GPT-3.5 Turbo supports a 16K token context window, while Qwen3.7 Flash supports 1M tokens. Qwen3.7 Flash 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-3.5 Turbo or Qwen3.7 Flash?
Qwen3.7 Flash leads on 2 of 2 shared benchmarks versus GPT-3.5 Turbo'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 GPT-3.5 Turbo or Qwen3.7 Flash better for production use?
Both GPT-3.5 Turbo and Qwen3.7 Flash are production API models. For cost-sensitive production traffic, Qwen3.7 Flash 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-3.5 Turbo and Qwen3.7 Flash in my app?
Yes. Call GPT-3.5 Turbo through OpenAI and Qwen3.7 Flash through Qwen 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-3.5 Turbo vs Qwen3.7 Flash pricing data?
List rates are the latest published OpenAI API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://developers.openai.com/api/docs/pricing and https://www.qwencloud.com/models/qwen3.7-flash. 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-3.5 Turbo and Qwen3.7 Flash?
GPT-3.5 Turbo supports up to 4K output tokens per request, while Qwen3.7 Flash supports up to 131K 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-3.5 Turbo or Qwen3.7 Flash?
GPT-3.5 Turbo has a measured throughput of approximately 100 tokens/second. Throughput data for Qwen3.7 Flash 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-3.5 Turbo vs Qwen3.7 Flash comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GPT-3.5 Turbo or Qwen3.7 Flash from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
