o1-preview vs Solar Pro 4

    Comparison

    As of August 20, 2026, Solar Pro 4 is 98% cheaper per million tokens than o1-preview. o1-preview is $15.00 / $60.00 per million input/output tokens versus Solar Pro 4 at $0.30 / $1.20. Sources: https://developers.openai.com/api/docs/pricing and https://www.upstage.ai

    Sources: OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Upstage pricing (https://www.upstage.ai)

    o1-preview

    OpenAI

    $75.00blended / 1M

    Input

    $15.00

    Output

    $60.00

    128K ctx|Proprietary
    98%
    cheaper
    Better value

    Solar Pro 4

    Upstage

    $1.50blended / 1M

    Input

    $0.30

    Output

    $1.20

    524.3K ctx|Proprietary
    Save $73.50 per million tokens by choosing Solar Pro 4 over o1-preview.

    o1-preview vs Solar Pro 4 comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    o1-preview
    Solar Pro 4
    Provider
    Provider
    OpenAI
    Upstage
    License
    Proprietary
    Proprietary
    Release Date
    2024-09-12
    2026-08-06
    Pricing (per 1M tokens)
    Input Price+4900%
    $15.00
    $0.30
    Output Price+4900%
    $60.00
    $1.20
    Blended (1M + 1M)
    $75.00
    $1.50
    Model Details
    Context Window
    128K
    524.3K
    Max Output Tokens
    32.8K
    131.1K
    Knowledge Cutoff
    October 2023
    N/A
    Throughput
    66 tok/s
    N/A
    Benchmarks
    73.3%
    89%
    50.3%
    49.2%
    42.4%
    71%
    31.1%
    42%
    90.8%
    85.5%
    95.3%
    52.3%
    90.8%
    86.3%
    Benchmark Wins
    o1-preview 0|2 Solar Pro 4

    Verdict

    o1-preview 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.

    o1-preview vs Solar Pro 4 FAQ

    Which is cheaper, o1-preview or Solar Pro 4?

    As of August 20, 2026, Solar Pro 4 is 98% 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). o1-preview costs $15.00 / $60.00 per million tokens ($75.00 blended). Sources: https://developers.openai.com/api/docs/pricing and https://www.upstage.ai. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does o1-preview vs Solar Pro 4 cost per million tokens?

    o1-preview OpenAI API pricing is $15.00 input and $60.00 output per million tokens via OpenAI. 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, o1-preview or Solar Pro 4?

    Solar Pro 4 leads on SWE-bench Verified: o1-preview at 41.3% vs Solar Pro 4 at 70.6%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.

    What is the context window for o1-preview vs Solar Pro 4?

    o1-preview supports a 128K 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, o1-preview or Solar Pro 4?

    Solar Pro 4 leads on 2 of 2 shared benchmarks versus o1-preview'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 o1-preview or Solar Pro 4 better for production use?

    Both o1-preview 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 o1-preview and Solar Pro 4 in my app?

    Yes. Call o1-preview through OpenAI 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 o1-preview vs Solar Pro 4 pricing data?

    List rates are the latest published OpenAI API pricing and Upstage API pricing, quoted per million tokens. Official rate sheets: https://developers.openai.com/api/docs/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 o1-preview and Solar Pro 4?

    o1-preview supports up to 33K 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, o1-preview or Solar Pro 4?

    o1-preview has a measured throughput of approximately 66 tokens/second. Throughput data for Solar Pro 4 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 o1-preview 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 o1-preview 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.

    o1-preview vs Solar Pro 4 pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. o1-preview costs $15.00/M input and $60.00/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

    All Large Language Models

    280 models across 33 providers. Search or jump to a lab — every model page stays linked here.

    Baidu

    1 models

    Inception

    1 models

    inclusionAI

    1 models

    LG AI Research

    1 models

    Nous Research

    1 models

    Sakana AI

    1 models

    StepFun

    1 models

    Tencent

    1 models

    Thinking Machines

    1 models

    Unisound

    1 models

    Upstage

    0 models

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