DeepSeek-V4-Pro-Max vs LongCat-Flash-Thinking-2601

    Comparison

    As of August 25, 2026, LongCat-Flash-Thinking-2601 is 71% cheaper per million tokens than DeepSeek-V4-Pro-Max. DeepSeek-V4-Pro-Max is $1.74 / $3.48 per million input/output tokens versus LongCat-Flash-Thinking-2601 at $0.30 / $1.20. Sources: https://api-docs.deepseek.com/quick_start/pricing and https://anotherwrapper.com/tools/llm-pricing

    Sources: DeepSeek API pricing (https://api-docs.deepseek.com/quick_start/pricing); AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing)

    DeepSeek-V4-Pro-Max

    DeepSeek

    $5.22blended / 1M

    Input

    $1.74

    Output

    $3.48

    1M ctx|Open Source
    71%
    cheaper
    Better value

    LongCat-Flash-Thinking-2601

    Meituan

    $1.50blended / 1M

    Input

    $0.30

    Output

    $1.20

    128K ctx|Open Source
    Save $3.72 per million tokens by choosing LongCat-Flash-Thinking-2601 over DeepSeek-V4-Pro-Max.

    DeepSeek-V4-Pro-Max vs LongCat-Flash-Thinking-2601 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.

    Score vs price

    SWE-bench Verified. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.

    Best score at each priceDeepSeek-V4-Pro-MaxLongCat-Flash-Thinking-2601
    Metric
    DeepSeek-V4-Pro-Max
    LongCat-Flash-Thinking-2601
    Provider
    Provider
    DeepSeek
    Meituan
    License
    Open Source
    Open Source
    Release Date
    2026-04-23
    2026-01-14
    Pricing (per 1M tokens)
    Input Price+480%
    $1.74
    $0.30
    Output Price+190%
    $3.48
    $1.20
    Blended (1M + 1M)
    $5.22
    $1.50
    Model Details
    Context Window
    1M
    128K
    Max Output Tokens
    131.1K
    128K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    100 tok/s
    Benchmarks
    48.2%
    25.2%
    90.1%
    80.5%
    89.7%
    93.5%
    82.8%
    50%
    83.4%
    56.6%
    57.9%
    51.8%
    73.6%
    96.7%
    99.6%
    100%
    12.9%
    84.4%
    95.2%
    89.8%
    78.6%
    73.6%
    87.5%
    83.5%
    Benchmark Wins
    DeepSeek-V4-Pro-Max 6|1 LongCat-Flash-Thinking-2601

    Verdict

    DeepSeek-V4-Pro-Max vs LongCat-Flash-Thinking-2601: the bottom line

    LongCat-Flash-Thinking-2601 offers significantly lower pricing, while DeepSeek-V4-Pro-Max leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    DeepSeek-V4-Pro-Max vs LongCat-Flash-Thinking-2601 FAQ

    Which is cheaper, DeepSeek-V4-Pro-Max or LongCat-Flash-Thinking-2601?

    As of August 25, 2026, LongCat-Flash-Thinking-2601 is 71% cheaper on blended LLM API pricing. LongCat-Flash-Thinking-2601 costs $0.30 per million input tokens and $1.20 per million output tokens ($1.50 blended 1M-in + 1M-out). DeepSeek-V4-Pro-Max costs $1.74 / $3.48 per million tokens ($5.22 blended). Sources: https://api-docs.deepseek.com/quick_start/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 DeepSeek-V4-Pro-Max vs LongCat-Flash-Thinking-2601 cost per million tokens?

    DeepSeek-V4-Pro-Max DeepSeek API pricing is $1.74 input and $3.48 output per million tokens via DeepSeek. LongCat-Flash-Thinking-2601 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, DeepSeek-V4-Pro-Max or LongCat-Flash-Thinking-2601?

    DeepSeek-V4-Pro-Max leads on SWE-bench Verified: DeepSeek-V4-Pro-Max at 80.6% vs LongCat-Flash-Thinking-2601 at 70%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.

    What is the context window for DeepSeek-V4-Pro-Max vs LongCat-Flash-Thinking-2601?

    DeepSeek-V4-Pro-Max supports a 1M token context window, while LongCat-Flash-Thinking-2601 supports 128K tokens. DeepSeek-V4-Pro-Max 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, DeepSeek-V4-Pro-Max or LongCat-Flash-Thinking-2601?

    DeepSeek-V4-Pro-Max leads on 6 of 7 shared benchmarks versus LongCat-Flash-Thinking-2601's 1 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 DeepSeek-V4-Pro-Max or LongCat-Flash-Thinking-2601 better for production use?

    Both DeepSeek-V4-Pro-Max and LongCat-Flash-Thinking-2601 are production API models. For cost-sensitive production traffic, LongCat-Flash-Thinking-2601 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 DeepSeek-V4-Pro-Max and LongCat-Flash-Thinking-2601 in my app?

    Yes. Call DeepSeek-V4-Pro-Max through DeepSeek and LongCat-Flash-Thinking-2601 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 DeepSeek-V4-Pro-Max vs LongCat-Flash-Thinking-2601 pricing data?

    List rates are the latest published DeepSeek API pricing and Meituan API pricing, quoted per million tokens. Official rate sheets: https://api-docs.deepseek.com/quick_start/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 DeepSeek-V4-Pro-Max and LongCat-Flash-Thinking-2601?

    DeepSeek-V4-Pro-Max supports up to 131K output tokens per request, while LongCat-Flash-Thinking-2601 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, DeepSeek-V4-Pro-Max or LongCat-Flash-Thinking-2601?

    LongCat-Flash-Thinking-2601 has a measured throughput of approximately 100 tokens/second. Throughput data for DeepSeek-V4-Pro-Max 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 DeepSeek-V4-Pro-Max vs LongCat-Flash-Thinking-2601 comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open DeepSeek-V4-Pro-Max or LongCat-Flash-Thinking-2601 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    DeepSeek-V4-Pro-Max vs LongCat-Flash-Thinking-2601 pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. DeepSeek-V4-Pro-Max costs $1.74/M input and $3.48/M output. LongCat-Flash-Thinking-2601 costs $0.30/M input and $1.20/M output.

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

    The index

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