The AI arena is free today

Open Superagent

DeepSeek-V4.1-Flash-1017 vs Gemma 3 12B

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to 5.1. Gemma 3 12B is 7.0x cheaper per token.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.2 to 5.1, ranking #15 overall.

On price, Gemma 3 12B is roughly 7.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017

  • overall performance matters — it scores 51.2 and ranks #15 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 Oct 2026

Choose Gemma 3 12B

  • cost matters — it's about 7.0x cheaper per token

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Gemma 3 12B
Google
Core performance indexes
LLM Stats Score
51.2
#15
5.1
#321
Reasoning
48.8
#18
5.5
#315
Coding
39.3
#14
2.6
#246
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
$0.05 / M
Output price
$1.20 / M
$0.15 / M
Context window
1,048,576
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V4.1-Flash-1017
Gemma 3 12B
Math
31.8#69
12.8#242
Vision
32.3#25
-4.5#219
Multimodal
35.0#14
-2.0#177
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 26 for Gemma 3 12B

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and Gemma 3 12Bdon'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

Gemma 3 12B costs less

For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) is 6.0x more expensive than Gemma 3 12B ($0.05/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 8.0x more expensive than Gemma 3 12B ($0.15/1M tokens).

In conclusion, DeepSeek-V4.1-Flash-1017 is more expensive than Gemma 3 12B.*

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

Lowest available price from all providers
Thu Oct 22 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
Google
Gemma 3 12B
Input tokens$0.05
Output tokens$0.15
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

751.2B diff

DeepSeek-V4.1-Flash-1017 has 751.2B more parameters than Gemma 3 12B, making it 6260.0% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
Google
Gemma 3 12B
12.0Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
12.0B
Gemma 3 12B

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to Gemma 3 12B's 131,072 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while Gemma 3 12B is limited to 131,072 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Google
Gemma 3 12B
Input131,072 tokens
Output131,072 tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and Gemma 3 12B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

Gemma 3 12B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Gemma 3 12B uses Gemma.

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

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Gemma 3 12B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Gemma 3 12B was released on 2025-03-12.

DeepSeek-V4.1-Flash-1017 is 19 months newer than Gemma 3 12B.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

1.6yr newer
Gemma 3 12B

Mar 12, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V4.1-Flash-1017 is available from DeepSeek. Gemma 3 12B is available from DeepInfra.

DeepSeek-V4.1-Flash-1017

deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Gemma 3 12B

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.15/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and Gemma 3 12B side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Gemma 3 12B
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Gemma 3 12B.

Which is better, DeepSeek-V4.1-Flash-1017 or Gemma 3 12B?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to 5.1. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Gemma 3 12B 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-V4.1-Flash-1017 compare to Gemma 3 12B in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%.

Is DeepSeek-V4.1-Flash-1017 cheaper than Gemma 3 12B?

Gemma 3 12B is 6.0x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. Gemma 3 12B costs $0.05/M input and $0.15/M output via deepinfra.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Gemma 3 12B?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Gemma 3 12B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4.1-Flash-1017 and Gemma 3 12B?

Key differences include LLM Stats Score (51.2 vs 5.1), context window (1.0M vs 131K), input pricing ($0.30 vs $0.05/M), licensing (MIT vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Gemma 3 12B?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Gemma 3 12B is developed by Google.

Related comparisons