DeepSeek-V4-Flash-0731 vs Gemini 4 Argon
Gemini 4 Argon leads the LLM Stats Score 55.1 to 43.0. DeepSeek-V4-Flash-0731 is 44.4x cheaper per token.
DeepSeek · Google · Updated for 2026
Which is better?
Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 43.0, ranking #4 overall.
In the 2 individual benchmarks reported for both models, Gemini 4 Argon wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Flash-0731 is roughly 44.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-0731
- cost matters — it's about 44.4x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Gemini 4 Argon
- overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for DeepSeek-V4-Flash-0731 · 19 for Gemini 4 Argon
DeepSeek-V4-Flash-0731 outperforms in 0 benchmarks, while Gemini 4 Argon is better at 2 benchmarks (Agents' Last Exam, AutomationBench).
Gemini 4 Argon 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-0731 ($0.06/1M tokens) is 33.3x cheaper than Gemini 4 Argon ($2.00/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 55.6x cheaper than Gemini 4 Argon ($10.00/1M tokens).
In conclusion, Gemini 4 Argon is more expensive than DeepSeek-V4-Flash-0731.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Both models can generate responses up to 1,048,576 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 4 Argon supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.
Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0731
Gemini 4 Argon
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 is licensed under MIT, while Gemini 4 Argon uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Gemini 4 Argon was released on 2026-09-30.
Gemini 4 Argon is 2 months newer than DeepSeek-V4-Flash-0731.
Jul 31, 2026
2 months ago
Sep 30, 2026
2 weeks ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks. Gemini 4 Argon is available from Google.
DeepSeek-V4-Flash-0731
Gemini 4 Argon
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and Gemini 4 Argon side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Gemini 4 Argon.