K-EXAONE-236B-A23B vs Qwen3.8 Flash

    Comparison

    As of August 28, 2026, Qwen3.8 Flash is 61% cheaper per million tokens than K-EXAONE-236B-A23B. K-EXAONE-236B-A23B is $0.60 / $1.00 per million input/output tokens versus Qwen3.8 Flash at $0.15 / $0.47. Sources: https://anotherwrapper.com/tools/llm-pricing and https://www.qwencloud.com/models/qwen3.8-flash

    Sources: AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing); Qwen pricing (https://www.qwencloud.com/models/qwen3.8-flash)

    K-EXAONE-236B-A23B

    LG AI Research

    $1.60blended / 1M

    Input

    $0.60

    Output

    $1.00

    32.8K ctx|Proprietary
    61%
    cheaper
    Better value

    Qwen3.8 Flash

    Qwen

    $0.62blended / 1M

    Input

    $0.15

    Output

    $0.47

    1M ctx|Proprietary
    Save $0.98 per million tokens by choosing Qwen3.8 Flash over K-EXAONE-236B-A23B.

    K-EXAONE-236B-A23B vs Qwen3.8 Flash comparison

    Token pricing, specs, and benchmarks side by side

    Shared benchmarks

    Each bar is share of the current leader on that eval. Click a row to open the board.

    K-EXAONE-236B-A23BQwen3.8 Flash

    Score vs price

    IFBench. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.

    Best score at each priceK-EXAONE-236B-A23BQwen3.8 Flash
    Metric
    K-EXAONE-236B-A23B
    Qwen3.8 Flash
    Provider
    Provider
    LG AI Research
    Qwen
    License
    Proprietary
    Proprietary
    Release Date
    2025-12-31
    2026-08-26
    Pricing (per 1M tokens)
    Input Price+300%
    $0.60
    $0.15
    Output Price+113%
    $1.00
    $0.47
    Blended (1M + 1M)
    $1.60
    $0.62
    Model Details
    Context Window
    32.8K
    1M
    Max Output Tokens
    32.8K
    131.1K
    Knowledge Cutoff
    2025-10-01
    N/A
    Throughput
    50 tok/s
    N/A
    Benchmarks
    35.9%
    91.7%
    58.7%
    67.3%
    81.3%
    73.5%
    85.7%
    90.6%
    92.8%
    84.5%
    60.4%
    73.9%
    72.3%
    55.7%
    76.6%
    95.7%
    83.8%
    48.1%
    19.4%
    88.5%
    73.2%
    Benchmark Wins
    K-EXAONE-236B-A23B 0|2 Qwen3.8 Flash

    Verdict

    K-EXAONE-236B-A23B vs Qwen3.8 Flash: the bottom line

    Qwen3.8 Flash offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.

    K-EXAONE-236B-A23B vs Qwen3.8 Flash FAQ

    Which is cheaper, K-EXAONE-236B-A23B or Qwen3.8 Flash?

    As of August 28, 2026, Qwen3.8 Flash is 61% cheaper on blended LLM API pricing. Qwen3.8 Flash costs $0.15 per million input tokens and $0.47 per million output tokens ($0.62 blended 1M-in + 1M-out). K-EXAONE-236B-A23B costs $0.60 / $1.00 per million tokens ($1.60 blended). Sources: https://anotherwrapper.com/tools/llm-pricing and https://www.qwencloud.com/models/qwen3.8-flash. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does K-EXAONE-236B-A23B vs Qwen3.8 Flash cost per million tokens?

    K-EXAONE-236B-A23B LG AI Research API pricing is $0.60 input and $1.00 output per million tokens via LG AI Research. Qwen3.8 Flash Qwen API pricing is $0.15 input and $0.47 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, K-EXAONE-236B-A23B or Qwen3.8 Flash?

    Qwen3.8 Flash has a published SWE-bench Pro score of 62.5%. K-EXAONE-236B-A23B does not have that eval on this page yet.

    What is the context window for K-EXAONE-236B-A23B vs Qwen3.8 Flash?

    K-EXAONE-236B-A23B supports a 33K token context window, while Qwen3.8 Flash supports 1M tokens. Qwen3.8 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, K-EXAONE-236B-A23B or Qwen3.8 Flash?

    Qwen3.8 Flash leads on 2 of 2 shared benchmarks versus K-EXAONE-236B-A23B'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 K-EXAONE-236B-A23B or Qwen3.8 Flash better for production use?

    Both K-EXAONE-236B-A23B and Qwen3.8 Flash are production API models. For cost-sensitive production traffic, Qwen3.8 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 K-EXAONE-236B-A23B and Qwen3.8 Flash in my app?

    Yes. Call K-EXAONE-236B-A23B through LG AI Research and Qwen3.8 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 K-EXAONE-236B-A23B vs Qwen3.8 Flash pricing data?

    List rates are the latest published LG AI Research API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://anotherwrapper.com/tools/llm-pricing and https://www.qwencloud.com/models/qwen3.8-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 K-EXAONE-236B-A23B and Qwen3.8 Flash?

    K-EXAONE-236B-A23B supports up to 33K output tokens per request, while Qwen3.8 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, K-EXAONE-236B-A23B or Qwen3.8 Flash?

    K-EXAONE-236B-A23B has a measured throughput of approximately 50 tokens/second. Throughput data for Qwen3.8 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 K-EXAONE-236B-A23B vs Qwen3.8 Flash comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open K-EXAONE-236B-A23B or Qwen3.8 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.

    K-EXAONE-236B-A23B vs Qwen3.8 Flash pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output. Qwen3.8 Flash costs $0.15/M input and $0.47/M output.

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

    The index

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