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DeepSeek-V3.2 vs Gemini 3.7 Flash

Gemini 3.7 Flash leads the LLM Stats Score 50.9 to 33.5. DeepSeek-V3.2 is 5.2x cheaper per token.

DeepSeek · Google · Updated for 2026

Which is better?

Gemini 3.7 Flash leads the overall LLM Stats Score 50.9 to 33.5, ranking #13 overall.

On price, DeepSeek-V3.2 is roughly 5.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.7 Flash 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-V3.2

  • cost matters — it's about 5.2x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Gemini 3.7 Flash

  • overall performance matters — it scores 50.9 and ranks #13 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 Aug 2026

At a glance

The differences that matter most.

DeepSeek-V3.2
DeepSeek
Gemini 3.7 Flash
Google
Core performance indexes
LLM Stats Score
33.5
#86
50.9
#13
Reasoning
33.6
#83
49.2
#15
Coding
23.3
#67
38.6
#17
Agents
12.7
#90
35.9
#15
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.26 / M
$0.75 / M
Output price
$0.38 / M
$3.75 / M
Context window
163,840
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3.2
Gemini 3.7 Flash
Tool use
10.6#114
28.8#15
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for DeepSeek-V3.2 · 18 for Gemini 3.7 Flash

No common benchmarks found

DeepSeek-V3.2 and Gemini 3.7 Flashdon'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

DeepSeek-V3.2 costs less

For input processing, DeepSeek-V3.2 ($0.26/1M tokens) is 2.9x cheaper than Gemini 3.7 Flash ($0.75/1M tokens).

For output processing, DeepSeek-V3.2 ($0.38/1M tokens) is 9.9x cheaper than Gemini 3.7 Flash ($3.75/1M tokens).

In conclusion, Gemini 3.7 Flash is more expensive than DeepSeek-V3.2.*

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

Lowest available price from all providers
Sun Aug 30 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2
Input tokens$0.26
Output tokens$0.38
Best providerDeepinfra
Google
Gemini 3.7 Flash
Input tokens$0.75
Output tokens$3.75
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.7 Flash accepts 1,048,576 input tokens compared to DeepSeek-V3.2's 163,840 tokens. DeepSeek-V3.2 can generate longer responses up to 163,840 tokens, while Gemini 3.7 Flash is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3.2
Input163,840 tokens
Output163,840 tokens
Google
Gemini 3.7 Flash
Input1,048,576 tokens
Output65,536 tokens
Sun Aug 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 3.7 Flash supports multimodal inputs, whereas DeepSeek-V3.2 does not.

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

DeepSeek-V3.2

Text
Images
Audio
Video

Gemini 3.7 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2 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-V3.2

MIT

Open weights

Gemini 3.7 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2 was released on 2025-12-01, while Gemini 3.7 Flash was released on 2026-08-13.

Gemini 3.7 Flash is 9 months newer than DeepSeek-V3.2.

DeepSeek-V3.2

Dec 1, 2025

9 months ago

Gemini 3.7 Flash

Aug 13, 2026

2 weeks ago

8mo newer

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while DeepSeek-V3.2'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-V3.2's cutoff date.

DeepSeek-V3.2

—

Gemini 3.7 Flash

Mar 2026

Provider Availability

DeepSeek-V3.2 is available from DeepInfra, Novita, Fireworks. Gemini 3.7 Flash is available from Google.

DeepSeek-V3.2

deepinfra logo
Deepinfra
Input Price:Input: $0.26/1MOutput Price:Output: $0.38/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.40/1M
fireworks logo
Fireworks
Input Price:Input: $0.56/1MOutput Price:Output: $1.68/1M

Gemini 3.7 Flash

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-V3.2 and Gemini 3.7 Flash side-by-side, then vote on the output you prefer.

DeepSeek-V3.2
✓ Preferred
Gemini 3.7 Flash
Open in Playground

FAQ

Common questions about DeepSeek-V3.2 vs Gemini 3.7 Flash.

Which is better, DeepSeek-V3.2 or Gemini 3.7 Flash?

Gemini 3.7 Flash leads the LLM Stats Score 50.9 to 33.5. DeepSeek-V3.2 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-V3.2 compare to Gemini 3.7 Flash in benchmarks?

DeepSeek-V3.2 scores AIME 2025: 93.1%, HMMT 2025: 90.2%, MMLU-Pro: 85.0%, LiveCodeBench: 83.3%, GPQA: 82.4%. 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-V3.2 cheaper than Gemini 3.7 Flash?

DeepSeek-V3.2 is 2.9x cheaper for input tokens. DeepSeek-V3.2 costs $0.26/M input and $0.38/M output via deepinfra. Gemini 3.7 Flash costs $0.75/M input and $3.75/M output via google.

What are the context window sizes for DeepSeek-V3.2 and Gemini 3.7 Flash?

DeepSeek-V3.2 supports 164K 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-V3.2 and Gemini 3.7 Flash?

Key differences include LLM Stats Score (33.5 vs 50.9), context window (164K vs 1.0M), input pricing ($0.26 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-V3.2 and Gemini 3.7 Flash?

DeepSeek-V3.2 is developed by DeepSeek and Gemini 3.7 Flash is developed by Google.

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