QwQ-32B vs Solar Pro 4

    Comparison

    As of August 30, 2026, Solar Pro 4 is 17% cheaper per million tokens than QwQ-32B. QwQ-32B is $0.90 / $0.90 per million input/output tokens versus Solar Pro 4 at $0.30 / $1.20. Sources: https://fireworks.ai/pricing and https://www.upstage.ai

    Sources: Fireworks pricing (https://fireworks.ai/pricing); Upstage pricing (https://www.upstage.ai)

    QwQ-32B

    Qwen

    $1.80blended / 1M

    Input

    $0.90

    Output

    $0.90

    131.1K ctx|Open Source
    17%
    cheaper
    Better value

    Solar Pro 4

    Upstage

    $1.50blended / 1M

    Input

    $0.30

    Output

    $1.20

    524.3K ctx|Proprietary
    Save $0.30 per million tokens by choosing Solar Pro 4 over QwQ-32B.

    QwQ-32B vs Solar Pro 4 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

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

    Best score at each priceQwQ-32BSolar Pro 4
    Metric
    QwQ-32B
    Solar Pro 4
    Provider
    Provider
    Qwen
    Upstage
    License
    Open Source
    Proprietary
    Release Date
    2025-03-05
    2026-08-06
    Pricing (per 1M tokens)
    Input Price+200%
    $0.90
    $0.30
    Output Price-25%
    $0.90
    $1.20
    Blended (1M + 1M)
    $1.80
    $1.50
    Model Details
    Context Window
    131.1K
    524.3K
    Max Output Tokens
    N/A
    131.1K
    Knowledge Cutoff
    2024-11-28
    N/A
    Throughput
    N/A
    N/A
    Benchmarks
    65.2%
    89%
    63.4%
    87.8%
    49.2%
    83.9%
    71%
    79.5%
    90.6%
    66.4%
    95.3%
    73.1%
    86.3%
    Benchmark Wins
    QwQ-32B 0|2 Solar Pro 4

    Verdict

    QwQ-32B vs Solar Pro 4: the bottom line

    Solar Pro 4 offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.

    QwQ-32B vs Solar Pro 4 FAQ

    Which is cheaper, QwQ-32B or Solar Pro 4?

    As of August 30, 2026, Solar Pro 4 is 17% cheaper on blended LLM API pricing. Solar Pro 4 costs $0.30 per million input tokens and $1.20 per million output tokens ($1.50 blended 1M-in + 1M-out). QwQ-32B costs $0.90 / $0.90 per million tokens ($1.80 blended). Sources: https://fireworks.ai/pricing and https://www.upstage.ai. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does QwQ-32B vs Solar Pro 4 cost per million tokens?

    QwQ-32B Fireworks API pricing is $0.90 input and $0.90 output per million tokens via Fireworks. Solar Pro 4 Upstage API pricing is $0.30 input and $1.20 output per million tokens via Upstage. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, QwQ-32B or Solar Pro 4?

    Solar Pro 4 has a published SWE-bench Verified score of 70.6%. QwQ-32B does not have that eval on this page yet.

    What is the context window for QwQ-32B vs Solar Pro 4?

    QwQ-32B supports a 131K token context window, while Solar Pro 4 supports 524K tokens. Solar Pro 4 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, QwQ-32B or Solar Pro 4?

    Solar Pro 4 leads on 2 of 2 shared benchmarks versus QwQ-32B'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 QwQ-32B or Solar Pro 4 better for production use?

    Both QwQ-32B and Solar Pro 4 are production API models. For cost-sensitive production traffic, Solar Pro 4 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 QwQ-32B and Solar Pro 4 in my app?

    Yes. Call QwQ-32B through Fireworks and Solar Pro 4 through Upstage 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 QwQ-32B vs Solar Pro 4 pricing data?

    List rates are the latest published Fireworks API pricing and Upstage API pricing, quoted per million tokens. Official rate sheets: https://fireworks.ai/pricing and https://www.upstage.ai. 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 QwQ-32B and Solar Pro 4?

    QwQ-32B supports up to an unspecified number of output tokens per request, while Solar Pro 4 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, QwQ-32B or Solar Pro 4?

    Neither QwQ-32B nor Solar Pro 4 has published throughput data on this page yet. 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 QwQ-32B vs Solar Pro 4 comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open QwQ-32B or Solar Pro 4 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    QwQ-32B vs Solar Pro 4 pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. QwQ-32B costs $0.90/M input and $0.90/M output via Fireworks. Solar Pro 4 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

    All Large Language Models

    343 models across 36 providers. Search or jump to a lab — every model page stays linked here.

    Baidu

    2 models

    Inception

    1 models

    inclusionAI

    1 models

    LG AI Research

    1 models

    Liquid AI

    2 models

    Nous Research

    1 models

    OpenBMB

    1 models

    Sakana AI

    1 models

    Sarvam AI

    2 models

    Tencent

    1 models

    Thinking Machines

    1 models

    Unisound

    1 models

    Upstage

    0 models

    Next step

    You found the model. Now ship the product.

    Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.