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DeepSeek-V4.1-Flash vs Gemma 4 26B-A4B

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 29.6. Gemma 4 26B-A4B is 2.4x cheaper per token.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 29.6, ranking #13 overall.

In the 2 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Gemma 4 26B-A4B is roughly 2.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash also accepts a larger context window (1,040,000 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

  • overall performance matters — it scores 51.8 and ranks #13 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you process long inputs — it offers a 1,040,000 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Gemma 4 26B-A4B

  • cost matters — it's about 2.4x cheaper per token

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash
DeepSeek
Gemma 4 26B-A4B
Google
Core performance indexes
LLM Stats Score
51.8
#13
29.6
#125
Reasoning
48.9
#18
29.3
#121
Agents
41.1
#4
12.7
#99
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.22 / M
$0.07 / M
Output price
$0.66 / M
$0.34 / M
Context window
1,040,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V4.1-Flash
Gemma 4 26B-A4B
Math
35.2#43
25.3#112
Vision
29.5#31
14.6#91
Multimodal
34.3#13
18.8#74
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 12 for Gemma 4 26B-A4B

2 shared

DeepSeek-V4.1-Flash outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Gemma 4 26B-A4B is better at 0 benchmarks.

DeepSeek-V4.1-Flash significantly outperforms across most benchmarks.

Mon Sep 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemma 4 26B-A4B costs less

For input processing, DeepSeek-V4.1-Flash ($0.22/1M tokens) is 3.1x more expensive than Gemma 4 26B-A4B ($0.07/1M tokens).

For output processing, DeepSeek-V4.1-Flash ($0.66/1M tokens) is 1.9x more expensive than Gemma 4 26B-A4B ($0.34/1M tokens).

In conclusion, DeepSeek-V4.1-Flash is more expensive than Gemma 4 26B-A4B.*

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

Lowest available price from all providers
Mon Sep 21 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash
Input tokens$0.22
Output tokens$0.66
Best providerFireworks
Google
Gemma 4 26B-A4B
Input tokens$0.07
Output tokens$0.34
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

738.0B diff

DeepSeek-V4.1-Flash has 738.0B more parameters than Gemma 4 26B-A4B, making it 2928.6% larger.

DeepSeek
DeepSeek-V4.1-Flash
763.2Bparameters
Google
Gemma 4 26B-A4B
25.2Bparameters
763.2B
DeepSeek-V4.1-Flash
25.2B
Gemma 4 26B-A4B

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash accepts 1,040,000 input tokens compared to Gemma 4 26B-A4B's 262,144 tokens. DeepSeek-V4.1-Flash can generate longer responses up to 393,216 tokens, while Gemma 4 26B-A4B is limited to 262,144 tokens.

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Google
Gemma 4 26B-A4B
Input262,144 tokens
Output262,144 tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash and Gemma 4 26B-A4B support multimodal inputs.

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

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

Gemma 4 26B-A4B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash is licensed under MIT, while Gemma 4 26B-A4B uses Apache 2.0.

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

DeepSeek-V4.1-Flash

MIT

Open weights

Gemma 4 26B-A4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while Gemma 4 26B-A4B was released on 2026-04-02.

DeepSeek-V4.1-Flash is 5 months newer than Gemma 4 26B-A4B.

DeepSeek-V4.1-Flash

Sep 10, 2026

1 weeks ago

5mo newer
Gemma 4 26B-A4B

Apr 2, 2026

5 months ago

Knowledge Cutoff

When training data ends

Gemma 4 26B-A4B has a documented knowledge cutoff of 2025-01-01, while DeepSeek-V4.1-Flash's cutoff date is not specified.

We can confirm Gemma 4 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without DeepSeek-V4.1-Flash's cutoff date.

DeepSeek-V4.1-Flash

—

Gemma 4 26B-A4B

Jan 2025

Provider Availability

DeepSeek-V4.1-Flash is available from Fireworks, DeepInfra, DeepSeek, Novita. Gemma 4 26B-A4B is available from DeepInfra, Novita.

DeepSeek-V4.1-Flash

fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.66/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Gemma 4 26B-A4B

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.34/1M
novita logo
Novita
Input Price:Input: $0.13/1MOutput Price:Output: $0.40/1M
* 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-V4.1-Flash and Gemma 4 26B-A4B side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash
✓ Preferred
Gemma 4 26B-A4B
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash vs Gemma 4 26B-A4B.

Which is better, DeepSeek-V4.1-Flash or Gemma 4 26B-A4B?

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 29.6. DeepSeek-V4.1-Flash is made by DeepSeek and Gemma 4 26B-A4B 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 compare to Gemma 4 26B-A4B in benchmarks?

DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%. Gemma 4 26B-A4B scores AIME 2026: 88.3%, MMMLU: 86.3%, t2-bench: 85.5%, MMLU-Pro: 82.6%, MathVision: 82.4%.

Is DeepSeek-V4.1-Flash cheaper than Gemma 4 26B-A4B?

Gemma 4 26B-A4B is 3.1x cheaper for input tokens. DeepSeek-V4.1-Flash costs $0.22/M input and $0.66/M output via fireworks. Gemma 4 26B-A4B costs $0.07/M input and $0.34/M output via deepinfra.

What are the context window sizes for DeepSeek-V4.1-Flash and Gemma 4 26B-A4B?

DeepSeek-V4.1-Flash supports 1.0M tokens and Gemma 4 26B-A4B supports 262K 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 and Gemma 4 26B-A4B?

Key differences include LLM Stats Score (51.8 vs 29.6), context window (1.0M vs 262K), input pricing ($0.22 vs $0.07/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash and Gemma 4 26B-A4B?

DeepSeek-V4.1-Flash is developed by DeepSeek and Gemma 4 26B-A4B is developed by Google.

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