DeepSeek-V4-Flash-0423 vs Phi-4-multimodal-instruct

    Comparison

    As of August 20, 2026, Phi-4-multimodal-instruct is 50% cheaper per million tokens than DeepSeek-V4-Flash-0423. DeepSeek-V4-Flash-0423 is $0.10 / $0.20 per million input/output tokens versus Phi-4-multimodal-instruct at $0.05 / $0.10. Sources: https://api-docs.deepseek.com/quick_start/pricing and https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/

    Sources: DeepSeek API pricing (https://api-docs.deepseek.com/quick_start/pricing); Microsoft pricing (https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/)

    DeepSeek-V4-Flash-0423

    DeepSeek

    $0.30blended / 1M

    Input

    $0.10

    Output

    $0.20

    1M ctx|Open Source
    50%
    cheaper
    Better value

    Phi-4-multimodal-instruct

    Microsoft

    $0.15blended / 1M

    Input

    $0.05

    Output

    $0.10

    128K ctx|Open Source
    Save $0.15 per million tokens by choosing Phi-4-multimodal-instruct over DeepSeek-V4-Flash-0423.

    DeepSeek-V4-Flash-0423 vs Phi-4-multimodal-instruct comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    DeepSeek-V4-Flash-0423
    Phi-4-multimodal-instruct
    Provider
    Provider
    DeepSeek
    Microsoft
    License
    Open Source
    Open Source
    Release Date
    2026-04-23
    2025-02-01
    Pricing (per 1M tokens)
    Input Price+100%
    $0.10
    $0.05
    Output Price+100%
    $0.20
    $0.10
    Blended (1M + 1M)
    $0.30
    $0.15
    Model Details
    Context Window
    1M
    128K
    Max Output Tokens
    65.5K
    128K
    Knowledge Cutoff
    N/A
    2024-06-01
    Throughput
    N/A
    25 tok/s
    Benchmarks
    40.3%
    87.4%
    53.5%
    28.9%
    43.5%
    67.4%
    38.5%
    55.1%
    82.3%
    61.3%
    81.4%
    93.9%
    59.3%
    73.2%
    93.2%
    91.9%
    72.7%
    48.6%
    62.4%
    86.7%
    86.4%
    76.9%
    84.4%
    85.6%
    75.6%
    55%

    Verdict

    DeepSeek-V4-Flash-0423 vs Phi-4-multimodal-instruct: the bottom line

    Both models are closely matched on benchmarks. Phi-4-multimodal-instruct has the pricing advantage, making it the better value unless DeepSeek-V4-Flash-0423's specific capabilities are critical to your workflow.

    DeepSeek-V4-Flash-0423 vs Phi-4-multimodal-instruct FAQ

    Which is cheaper, DeepSeek-V4-Flash-0423 or Phi-4-multimodal-instruct?

    As of August 20, 2026, Phi-4-multimodal-instruct is 50% cheaper on blended LLM API pricing. Phi-4-multimodal-instruct costs $0.05 per million input tokens and $0.10 per million output tokens ($0.15 blended 1M-in + 1M-out). DeepSeek-V4-Flash-0423 costs $0.10 / $0.20 per million tokens ($0.30 blended). Sources: https://api-docs.deepseek.com/quick_start/pricing and https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does DeepSeek-V4-Flash-0423 vs Phi-4-multimodal-instruct cost per million tokens?

    DeepSeek-V4-Flash-0423 DeepSeek API pricing is $0.10 input and $0.20 output per million tokens via DeepSeek. Phi-4-multimodal-instruct Microsoft API pricing is $0.05 input and $0.10 output per million tokens via Microsoft. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, DeepSeek-V4-Flash-0423 or Phi-4-multimodal-instruct?

    DeepSeek-V4-Flash-0423 has a published SWE-bench Verified score of 78.6%. Phi-4-multimodal-instruct does not have that eval on this page yet.

    What is the context window for DeepSeek-V4-Flash-0423 vs Phi-4-multimodal-instruct?

    DeepSeek-V4-Flash-0423 supports a 1M token context window, while Phi-4-multimodal-instruct supports 128K tokens. DeepSeek-V4-Flash-0423 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-Flash-0423 or Phi-4-multimodal-instruct?

    Shared benchmark scores for DeepSeek-V4-Flash-0423 and Phi-4-multimodal-instruct 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 DeepSeek-V4-Flash-0423 or Phi-4-multimodal-instruct better for production use?

    Both DeepSeek-V4-Flash-0423 and Phi-4-multimodal-instruct are production API models. For cost-sensitive production traffic, Phi-4-multimodal-instruct 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-Flash-0423 and Phi-4-multimodal-instruct in my app?

    Yes. Call DeepSeek-V4-Flash-0423 through DeepSeek and Phi-4-multimodal-instruct through Microsoft 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-Flash-0423 vs Phi-4-multimodal-instruct pricing data?

    List rates are the latest published DeepSeek API pricing and Microsoft API pricing, quoted per million tokens. Official rate sheets: https://api-docs.deepseek.com/quick_start/pricing and https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/. 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-Flash-0423 and Phi-4-multimodal-instruct?

    DeepSeek-V4-Flash-0423 supports up to 66K output tokens per request, while Phi-4-multimodal-instruct 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-Flash-0423 or Phi-4-multimodal-instruct?

    Phi-4-multimodal-instruct has a measured throughput of approximately 25 tokens/second. Throughput data for DeepSeek-V4-Flash-0423 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-Flash-0423 vs Phi-4-multimodal-instruct 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-Flash-0423 or Phi-4-multimodal-instruct 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-Flash-0423 vs Phi-4-multimodal-instruct pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. DeepSeek-V4-Flash-0423 costs $0.10/M input and $0.20/M output. Phi-4-multimodal-instruct costs $0.05/M input and $0.10/M output.

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

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