The AI arena is free today

Open Superagent

DeepSeek-V4-Flash-0731 vs Gemini 3.7 Flash

DeepSeek-V4-Flash-0731 and Gemini 3.7 Flash are closely matched at 45.0 and 49.1 on the LLM Stats Score. DeepSeek-V4-Flash-0731 is 16.7x cheaper per token.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4-Flash-0731 and Gemini 3.7 Flash are closely matched on the overall LLM Stats Score at 45.0 and 49.1.

In the 3 individual benchmarks reported for both models, Gemini 3.7 Flash wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4-Flash-0731 is roughly 16.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

  • cost matters — it's about 16.7x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you need open weights you can self-host or fine-tune

Choose Gemini 3.7 Flash

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Core performance indexes
45.0
#33
49.1
#20
42.5
#43
47.0
#24
33.4
#35
35.8
#24
31.3
#30
33.7
#22
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.06 / M
$0.75 / M
Output price
$0.18 / M
$3.75 / M
Context window
1,048,576
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Flash-0731
Gemini 3.7 Flash
26.1#29
26.9#24
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for DeepSeek-V4-Flash-0731 · 18 for Gemini 3.7 Flash

3 shared

DeepSeek-V4-Flash-0731 outperforms in 0 benchmarks, while Gemini 3.7 Flash is better at 3 benchmarks (Agents' Last Exam, AutomationBench, Terminal-Bench 2.1).

Gemini 3.7 Flash significantly outperforms across most benchmarks.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4-Flash-0731 costs less

For input processing, DeepSeek-V4-Flash-0731 ($0.06/1M tokens) is 12.5x cheaper than Gemini 3.7 Flash ($0.75/1M tokens).

For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 20.8x cheaper than Gemini 3.7 Flash ($3.75/1M tokens).

In conclusion, Gemini 3.7 Flash is more expensive than DeepSeek-V4-Flash-0731.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Sep 10 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Flash-0731
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Google
Gemini 3.7 Flash
Input tokens$0.75
Output tokens$3.75
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to Gemini 3.7 Flash's 1,000,000 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 1,048,576 tokens, while Gemini 3.7 Flash is limited to 1,000,000 tokens.

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output1,048,576 tokens
Google
Gemini 3.7 Flash
Input1,000,000 tokens
Output1,000,000 tokens
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 3.7 Flash supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.

Gemini 3.7 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Flash-0731

Text
Images
Audio
Video

Gemini 3.7 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Flash-0731 is licensed under MIT, while Gemini 3.7 Flash uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V4-Flash-0731

MIT

Open weights

Gemini 3.7 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Gemini 3.7 Flash was released on 2026-08-13.

Gemini 3.7 Flash is 0 month newer than DeepSeek-V4-Flash-0731.

DeepSeek-V4-Flash-0731

Jul 31, 2026

1 months ago

Gemini 3.7 Flash

Aug 13, 2026

3 weeks ago

1w newer

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while DeepSeek-V4-Flash-0731's cutoff date is not specified.

We can confirm Gemini 3.7 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without DeepSeek-V4-Flash-0731's cutoff date.

DeepSeek-V4-Flash-0731

Gemini 3.7 Flash

Mar 2026

Provider Availability

DeepSeek-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks. Gemini 3.7 Flash is available from DeepInfra, Google.

DeepSeek-V4-Flash-0731

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M
novita logo
Novita
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
fireworks logo
Fireworks
Input Price:Input: $0.44/1MOutput Price:Output: $1.32/1M

Gemini 3.7 Flash

deepinfra logo
Deepinfra
Input Price:Input: $0.75/1MOutput Price:Output: $3.75/1M
google logo
Google
Input Price:Input: $0.75/1MOutput Price:Output: $3.75/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-0731 and Gemini 3.7 Flash side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
Gemini 3.7 Flash
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs Gemini 3.7 Flash.

Which is better, DeepSeek-V4-Flash-0731 or Gemini 3.7 Flash?

DeepSeek-V4-Flash-0731 and Gemini 3.7 Flash are closely matched on the LLM Stats Score at 45.0 and 49.1. DeepSeek-V4-Flash-0731 is made by DeepSeek and Gemini 3.7 Flash is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4-Flash-0731 compare to Gemini 3.7 Flash in benchmarks?

DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%. Gemini 3.7 Flash scores MRCR v2 (8-needle): 97.0%, Harvey LAB-AA: 90.7%, CharXiv-R: 88.7%, Terminal-Bench 2.1: 85.8%, LVBench: 85.4%.

Is DeepSeek-V4-Flash-0731 cheaper than Gemini 3.7 Flash?

DeepSeek-V4-Flash-0731 is 12.5x cheaper for input tokens. DeepSeek-V4-Flash-0731 costs $0.06/M input and $0.18/M output via deepinfra. Gemini 3.7 Flash costs $0.75/M input and $3.75/M output via deepinfra.

What are the context window sizes for DeepSeek-V4-Flash-0731 and Gemini 3.7 Flash?

DeepSeek-V4-Flash-0731 supports 1.0M tokens and Gemini 3.7 Flash supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Flash-0731 and Gemini 3.7 Flash?

Key differences include LLM Stats Score (45.0 vs 49.1), context window (1.0M vs 1.0M), input pricing ($0.06 vs $0.75/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0731 and Gemini 3.7 Flash?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and Gemini 3.7 Flash is developed by Google.