Grok-4 Fast Non-Reasoning vs Qwen3 VL 235B A22B Thinking

    Comparison

    As of August 20, 2026, Grok-4 Fast Non-Reasoning is 82% cheaper per million tokens than Qwen3 VL 235B A22B Thinking. Grok-4 Fast Non-Reasoning is $0.20 / $0.50 per million input/output tokens versus Qwen3 VL 235B A22B Thinking at $0.45 / $3.49. Sources: https://docs.x.ai/docs/models and https://bailian.console.aliyun.com/

    Sources: xAI API pricing (https://docs.x.ai/docs/models); Qwen pricing (https://bailian.console.aliyun.com/)

    Better value

    Grok-4 Fast Non-Reasoning

    xAI

    $0.70blended / 1M

    Input

    $0.20

    Output

    $0.50

    2M ctx|Proprietary
    82%
    cheaper

    Qwen3 VL 235B A22B Thinking

    Qwen

    $3.94blended / 1M

    Input

    $0.45

    Output

    $3.49

    262.1K ctx|Open Source
    Save $3.24 per million tokens by choosing Grok-4 Fast Non-Reasoning over Qwen3 VL 235B A22B Thinking.

    Grok-4 Fast Non-Reasoning vs Qwen3 VL 235B A22B Thinking comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Grok-4 Fast Non-Reasoning
    Qwen3 VL 235B A22B Thinking
    Provider
    Provider
    xAI
    Qwen
    License
    Proprietary
    Open Source
    Release Date
    2025-08-28
    2025-09-22
    Pricing (per 1M tokens)
    Input Price-56%
    $0.20
    $0.45
    Output Price-86%
    $0.50
    $3.49
    Blended (1M + 1M)
    $0.70
    $3.94
    Model Details
    Context Window
    2M
    262.1K
    Max Output Tokens
    30K
    262.1K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    90 tok/s
    N/A
    Benchmarks
    13.6%
    62.1%
    44.4%
    88.2%
    38.1%
    69.3%
    66.1%
    33.3%
    89.7%
    90.6%
    63.4%
    89.2%
    53.7%
    71.9%
    67.1%
    81.5%
    63.5%
    58.4%
    93.7%
    93.4%
    96.5%
    52.5%
    77.4%
    11%
    80%
    89.5%
    3.8%
    63.6%
    74.6%
    30.0%
    75.4%
    79.7%
    88%
    92.7%
    83.8%
    90.6%
    70.3%
    83.8%
    80.6%
    93.7%
    80.6%
    78.7%
    80.1%
    79.1%
    71.2%
    87.5%
    43.2%
    68.3%
    81.3%
    92.4%
    16.0%
    95.4%
    77.3%
    61.3%
    34.9%
    64.3%
    71.6%
    80%
    34.4%
    86.7%
    97.3%
    Benchmark Wins
    Grok-4 Fast Non-Reasoning 0|2 Qwen3 VL 235B A22B Thinking

    Verdict

    Grok-4 Fast Non-Reasoning vs Qwen3 VL 235B A22B Thinking: the bottom line

    Grok-4 Fast Non-Reasoning offers significantly lower pricing, while Qwen3 VL 235B A22B Thinking leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Grok-4 Fast Non-Reasoning vs Qwen3 VL 235B A22B Thinking FAQ

    Which is cheaper, Grok-4 Fast Non-Reasoning or Qwen3 VL 235B A22B Thinking?

    As of August 20, 2026, Grok-4 Fast Non-Reasoning is 82% 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 VL 235B A22B Thinking costs $0.45 / $3.49 per million tokens ($3.94 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 VL 235B A22B Thinking 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 VL 235B A22B Thinking Qwen API pricing is $0.45 input and $3.49 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 VL 235B A22B Thinking?

    Grok-4 Fast Non-Reasoning has a published LiveCodeBench score of 46.1%. Qwen3 VL 235B A22B Thinking does not have that eval on this page yet.

    What is the context window for Grok-4 Fast Non-Reasoning vs Qwen3 VL 235B A22B Thinking?

    Grok-4 Fast Non-Reasoning supports a 2M token context window, while Qwen3 VL 235B A22B Thinking 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 VL 235B A22B Thinking?

    Qwen3 VL 235B A22B Thinking leads on 2 of 2 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 VL 235B A22B Thinking better for production use?

    Both Grok-4 Fast Non-Reasoning and Qwen3 VL 235B A22B Thinking 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 VL 235B A22B Thinking in my app?

    Yes. Call Grok-4 Fast Non-Reasoning through xAI and Qwen3 VL 235B A22B Thinking 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 VL 235B A22B Thinking 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 VL 235B A22B Thinking?

    Grok-4 Fast Non-Reasoning supports up to 30K output tokens per request, while Qwen3 VL 235B A22B Thinking supports up to 262K 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 VL 235B A22B Thinking?

    Grok-4 Fast Non-Reasoning has a measured throughput of approximately 90 tokens/second. Throughput data for Qwen3 VL 235B A22B Thinking 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 VL 235B A22B Thinking 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 VL 235B A22B 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.

    Grok-4 Fast Non-Reasoning vs Qwen3 VL 235B A22B Thinking pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Grok-4 Fast Non-Reasoning costs $0.20/M input and $0.50/M output. Qwen3 VL 235B A22B Thinking costs $0.45/M input and $3.49/M output.

    Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.

    The index

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