GLM-4.6V-FlashX vs Solar Pro 4

    Comparison

    As of August 20, 2026, GLM-4.6V-FlashX is 71% cheaper per million tokens than Solar Pro 4. GLM-4.6V-FlashX is $0.04 / $0.40 per million input/output tokens versus Solar Pro 4 at $0.30 / $1.20. Sources: https://docs.z.ai/guides/overview/pricing and https://www.upstage.ai

    Sources: Z AI pricing (https://docs.z.ai/guides/overview/pricing); Upstage pricing (https://www.upstage.ai)

    Better value

    GLM-4.6V-FlashX

    Z AI

    $0.44blended / 1M

    Input

    $0.04

    Output

    $0.40

    131.1K ctx|Open Source
    71%
    cheaper

    Solar Pro 4

    Upstage

    $1.50blended / 1M

    Input

    $0.30

    Output

    $1.20

    524.3K ctx|Proprietary
    Save $1.06 per million tokens by choosing GLM-4.6V-FlashX over Solar Pro 4.

    GLM-4.6V-FlashX vs Solar Pro 4 comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    GLM-4.6V-FlashX
    Solar Pro 4
    Provider
    Provider
    Z AI
    Upstage
    License
    Open Source
    Proprietary
    Release Date
    N/A
    2026-08-06
    Pricing (per 1M tokens)
    Input Price-87%
    $0.04
    $0.30
    Output Price-67%
    $0.40
    $1.20
    Blended (1M + 1M)
    $0.44
    $1.50
    Model Details
    Context Window
    131.1K
    524.3K
    Max Output Tokens
    N/A
    131.1K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    N/A
    Benchmarks
    89%
    49.2%
    71%
    95.3%
    86.3%

    Verdict

    GLM-4.6V-FlashX vs Solar Pro 4: the bottom line

    Both models are closely matched on benchmarks. GLM-4.6V-FlashX has the pricing advantage, making it the better value unless Solar Pro 4's specific capabilities are critical to your workflow.

    GLM-4.6V-FlashX vs Solar Pro 4 FAQ

    Which is cheaper, GLM-4.6V-FlashX or Solar Pro 4?

    As of August 20, 2026, GLM-4.6V-FlashX is 71% cheaper on blended LLM API pricing. GLM-4.6V-FlashX costs $0.04 per million input tokens and $0.40 per million output tokens ($0.44 blended 1M-in + 1M-out). Solar Pro 4 costs $0.30 / $1.20 per million tokens ($1.50 blended). Sources: https://docs.z.ai/guides/overview/pricing and https://www.upstage.ai. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does GLM-4.6V-FlashX vs Solar Pro 4 cost per million tokens?

    GLM-4.6V-FlashX Z AI API pricing is $0.04 input and $0.40 output per million tokens via Z AI. 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, GLM-4.6V-FlashX or Solar Pro 4?

    Solar Pro 4 has a published SWE-bench Verified score of 70.6%. GLM-4.6V-FlashX does not have that eval on this page yet.

    What is the context window for GLM-4.6V-FlashX vs Solar Pro 4?

    GLM-4.6V-FlashX 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, GLM-4.6V-FlashX or Solar Pro 4?

    Shared benchmark scores for GLM-4.6V-FlashX and Solar Pro 4 are still limited. Check the comparison table for the evals each model has published. 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 GLM-4.6V-FlashX or Solar Pro 4 better for production use?

    Both GLM-4.6V-FlashX and Solar Pro 4 are production API models. For cost-sensitive production traffic, GLM-4.6V-FlashX 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 GLM-4.6V-FlashX and Solar Pro 4 in my app?

    Yes. Call GLM-4.6V-FlashX through Z AI 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 GLM-4.6V-FlashX vs Solar Pro 4 pricing data?

    List rates are the latest published Z AI API pricing and Upstage API pricing, quoted per million tokens. Official rate sheets: https://docs.z.ai/guides/overview/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 GLM-4.6V-FlashX and Solar Pro 4?

    GLM-4.6V-FlashX 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, GLM-4.6V-FlashX or Solar Pro 4?

    Neither GLM-4.6V-FlashX 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 GLM-4.6V-FlashX 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 GLM-4.6V-FlashX 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.

    GLM-4.6V-FlashX vs Solar Pro 4 pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. GLM-4.6V-FlashX costs $0.04/M input and $0.40/M output. 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

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