Which is cheaper, Grok-4 Fast Non-Reasoning or Qwen3-235B-A22B-Thinking-2507?
As of August 20, 2026, Grok-4 Fast Non-Reasoning is 79% cheaper on blended LLM API pricing. Grok-4 Fast Non-Reasoning costs $0.20 per million input tokens and $0.50 per million output tokens ($0.70 blended 1M-in + 1M-out). Qwen3-235B-A22B-Thinking-2507 costs $0.30 / $3.00 per million tokens ($3.30 blended). Sources: https://docs.x.ai/docs/models and https://bailian.console.aliyun.com/. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Grok-4 Fast Non-Reasoning vs Qwen3-235B-A22B-Thinking-2507 cost per million tokens?
Grok-4 Fast Non-Reasoning xAI API pricing is $0.20 input and $0.50 output per million tokens via xAI. Qwen3-235B-A22B-Thinking-2507 Qwen API pricing is $0.30 input and $3.00 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, Grok-4 Fast Non-Reasoning or Qwen3-235B-A22B-Thinking-2507?
Grok-4 Fast Non-Reasoning has a published LiveCodeBench score of 46.1%. Qwen3-235B-A22B-Thinking-2507 does not have that eval on this page yet.
What is the context window for Grok-4 Fast Non-Reasoning vs Qwen3-235B-A22B-Thinking-2507?
Grok-4 Fast Non-Reasoning supports a 2M token context window, while Qwen3-235B-A22B-Thinking-2507 supports 262K tokens. Grok-4 Fast Non-Reasoning 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, Grok-4 Fast Non-Reasoning or Qwen3-235B-A22B-Thinking-2507?
Qwen3-235B-A22B-Thinking-2507 leads on 3 of 3 shared benchmarks versus Grok-4 Fast Non-Reasoning'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 Grok-4 Fast Non-Reasoning or Qwen3-235B-A22B-Thinking-2507 better for production use?
Both Grok-4 Fast Non-Reasoning and Qwen3-235B-A22B-Thinking-2507 are production API models. For cost-sensitive production traffic, Grok-4 Fast Non-Reasoning 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 Grok-4 Fast Non-Reasoning and Qwen3-235B-A22B-Thinking-2507 in my app?
Yes. Call Grok-4 Fast Non-Reasoning through xAI and Qwen3-235B-A22B-Thinking-2507 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 Grok-4 Fast Non-Reasoning vs Qwen3-235B-A22B-Thinking-2507 pricing data?
List rates are the latest published xAI API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://docs.x.ai/docs/models and https://bailian.console.aliyun.com/. 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 Grok-4 Fast Non-Reasoning and Qwen3-235B-A22B-Thinking-2507?
Grok-4 Fast Non-Reasoning supports up to 30K output tokens per request, while Qwen3-235B-A22B-Thinking-2507 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, Grok-4 Fast Non-Reasoning or Qwen3-235B-A22B-Thinking-2507?
Grok-4 Fast Non-Reasoning has a measured throughput of approximately 90 tokens/second. Throughput data for Qwen3-235B-A22B-Thinking-2507 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 Grok-4 Fast Non-Reasoning vs Qwen3-235B-A22B-Thinking-2507 comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Grok-4 Fast Non-Reasoning or Qwen3-235B-A22B-Thinking-2507 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
