Which is cheaper, DeepSeek VL2 Small or Phi-3.5-mini-instruct?
As of August 30, 2026, Phi-3.5-mini-instruct is 88% cheaper on blended LLM API pricing. Phi-3.5-mini-instruct costs $0.10 per million input tokens and $0.10 per million output tokens ($0.20 blended 1M-in + 1M-out). DeepSeek VL2 Small costs $0.20 / $1.50 per million tokens ($1.70 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 VL2 Small vs Phi-3.5-mini-instruct cost per million tokens?
DeepSeek VL2 Small DeepSeek API pricing is $0.20 input and $1.50 output per million tokens via Replicate. Phi-3.5-mini-instruct Microsoft API pricing is $0.10 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 VL2 Small or Phi-3.5-mini-instruct?
Phi-3.5-mini-instruct has a published HumanEval score of 62.8%. DeepSeek VL2 Small does not have that eval on this page yet.
What is the context window for DeepSeek VL2 Small vs Phi-3.5-mini-instruct?
DeepSeek VL2 Small supports a 129K token context window, while Phi-3.5-mini-instruct supports 128K tokens. DeepSeek VL2 Small 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 VL2 Small or Phi-3.5-mini-instruct?
Shared benchmark scores for DeepSeek VL2 Small and Phi-3.5-mini-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 VL2 Small or Phi-3.5-mini-instruct better for production use?
Both DeepSeek VL2 Small and Phi-3.5-mini-instruct are production API models. For cost-sensitive production traffic, Phi-3.5-mini-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 VL2 Small and Phi-3.5-mini-instruct in my app?
Yes. Call DeepSeek VL2 Small through Replicate and Phi-3.5-mini-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 VL2 Small vs Phi-3.5-mini-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 VL2 Small and Phi-3.5-mini-instruct?
DeepSeek VL2 Small supports up to an unspecified number of output tokens per request, while Phi-3.5-mini-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 VL2 Small or Phi-3.5-mini-instruct?
Phi-3.5-mini-instruct has a measured throughput of approximately 23 tokens/second. Throughput data for DeepSeek VL2 Small 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 VL2 Small vs Phi-3.5-mini-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 VL2 Small or Phi-3.5-mini-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.
