DeepSeek-V4-Flash-0423 vs Gemma 4 31B
DeepSeek-V4-Flash-0423 and Gemma 4 31B are closely matched at 36.6 and 33.4 on the LLM Stats Score. DeepSeek-V4-Flash-0423 is 1.5x cheaper per token.
DeepSeek · Google · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0423 and Gemma 4 31B are closely matched on the overall LLM Stats Score at 36.6 and 33.4.
In the 3 individual benchmarks reported for both models, DeepSeek-V4-Flash-0423 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Flash-0423 is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-0423 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-0423
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- cost matters — it's about 1.5x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Apr 2026
Choose Gemma 4 31B
- you want predictable pricing at $0.13/M input and $0.38/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for DeepSeek-V4-Flash-0423 · 12 for Gemma 4 31B
DeepSeek-V4-Flash-0423 outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, MMLU-Pro), while Gemma 4 31B is better at 0 benchmarks.
DeepSeek-V4-Flash-0423 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-0423 ($0.10/1M tokens) is 1.3x cheaper than Gemma 4 31B ($0.13/1M tokens).
For output processing, DeepSeek-V4-Flash-0423 ($0.20/1M tokens) is 1.9x cheaper than Gemma 4 31B ($0.38/1M tokens).
In conclusion, Gemma 4 31B is more expensive than DeepSeek-V4-Flash-0423.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Flash-0423 has 253.3B more parameters than Gemma 4 31B, making it 825.1% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-0423 accepts 1,048,576 input tokens compared to Gemma 4 31B's 262,144 tokens. Gemma 4 31B can generate longer responses up to 131,072 tokens, while DeepSeek-V4-Flash-0423 is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Gemma 4 31B supports multimodal inputs, whereas DeepSeek-V4-Flash-0423 does not.
Gemma 4 31B can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0423
Gemma 4 31B
License
Usage and distribution terms
DeepSeek-V4-Flash-0423 is licensed under MIT, while Gemma 4 31B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Flash-0423 was released on 2026-04-23, while Gemma 4 31B was released on 2026-04-02.
DeepSeek-V4-Flash-0423 is 1 month newer than Gemma 4 31B.
Apr 23, 2026
4 months ago
3w newerApr 2, 2026
4 months ago
Knowledge Cutoff
When training data ends
Gemma 4 31B has a documented knowledge cutoff of 2025-01-01, while DeepSeek-V4-Flash-0423's cutoff date is not specified.
We can confirm Gemma 4 31B's training data extends to 2025-01-01, but cannot make a direct comparison without DeepSeek-V4-Flash-0423's cutoff date.
—
Jan 2025
Provider Availability
DeepSeek-V4-Flash-0423 is available from DeepInfra, Novita. Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together.
DeepSeek-V4-Flash-0423
Gemma 4 31B
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0423 and Gemma 4 31B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0423 vs Gemma 4 31B.