DeepSeek-V4-Flash-0731 vs Phi 4
DeepSeek-V4-Flash-0731 leads the LLM Stats Score 44.7 to 5.4. Phi 4 is 1.0x cheaper per token.
DeepSeek · Microsoft · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0731 leads the overall LLM Stats Score 44.7 to 5.4, ranking #35 overall.
DeepSeek-V4-Flash-0731 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-0731
- overall performance matters — it scores 44.7 and ranks #35 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Choose Phi 4
- you want predictable pricing at $0.07/M input and $0.14/M output
At a glance
The differences that matter most.
Individual benchmarks
9 reported for DeepSeek-V4-Flash-0731 · 13 for Phi 4
DeepSeek-V4-Flash-0731 and Phi 4don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-0731 ($0.06/1M tokens) is 1.2x cheaper than Phi 4 ($0.07/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 1.3x more expensive than Phi 4 ($0.14/1M tokens).
In conclusion, DeepSeek-V4-Flash-0731 is more expensive than Phi 4.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Flash-0731 has 289.3B more parameters than Phi 4, making it 1968.0% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to Phi 4's 16,384 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 1,048,576 tokens, while Phi 4 is limited to 16,384 tokens.
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Phi 4 was released on 2024-12-12.
DeepSeek-V4-Flash-0731 is 20 months newer than Phi 4.
Jul 31, 2026
1 months ago
1.6yr newerDec 12, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
Phi 4 has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V4-Flash-0731's cutoff date is not specified.
We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek-V4-Flash-0731's cutoff date.
—
Jun 2024
Provider Availability
DeepSeek-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks. Phi 4 is available from DeepInfra.
DeepSeek-V4-Flash-0731
Phi 4
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and Phi 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Phi 4.