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DeepSeek-V4.1-Flash vs Gemini 4 Carbon

Gemini 4 Carbon leads the LLM Stats Score 58.8 to 49.5.

DeepSeek · Google · Updated for 2026

Which is better?

Gemini 4 Carbon leads the overall LLM Stats Score 58.8 to 49.5, ranking #2 overall.

In the 3 individual benchmarks reported for both models, Gemini 4 Carbon wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4.1-Flash

  • you need open weights you can self-host or fine-tune

Choose Gemini 4 Carbon

  • overall performance matters — it scores 58.8 and ranks #2 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
49.5
#24
58.8
#2
47.1
#27
54.4
#5
40.8
#13
48.3
#3
38.2
#15
45.8
#1
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,040,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
DeepSeek-V4.1-Flash
Gemini 4 Carbon
30.9#38
36.0#13
32.1#7
35.4#3
32.3#25
38.0#6
23.6#6
33.0#1
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 16 for Gemini 4 Carbon

3 shared

DeepSeek-V4.1-Flash outperforms in 1 benchmarks (AutomationBench), while Gemini 4 Carbon is better at 2 benchmarks (ExploitGym, SEC-bench Pro).

Gemini 4 Carbon shows notably better performance in the majority of benchmarks.

Thu Nov 05 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash specifies input context (1,040,000 tokens). Only DeepSeek-V4.1-Flash specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Google
Gemini 4 Carbon
Input- tokens
Output- tokens
Thu Nov 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash and Gemini 4 Carbon 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

Gemini 4 Carbon

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash is licensed under MIT, while Gemini 4 Carbon uses a proprietary license.

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

DeepSeek-V4.1-Flash

MIT

Open weights

Gemini 4 Carbon

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while Gemini 4 Carbon was released on 2026-10-28.

Gemini 4 Carbon is 2 months newer than DeepSeek-V4.1-Flash.

DeepSeek-V4.1-Flash

Sep 10, 2026

1 months ago

Gemini 4 Carbon

Oct 28, 2026

1 weeks ago

1mo newer

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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash and Gemini 4 Carbon side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash
✓ Preferred
Gemini 4 Carbon
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash vs Gemini 4 Carbon.

Which is better, DeepSeek-V4.1-Flash or Gemini 4 Carbon?

Gemini 4 Carbon leads the LLM Stats Score 58.8 to 49.5. DeepSeek-V4.1-Flash is made by DeepSeek and Gemini 4 Carbon 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 Gemini 4 Carbon 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%. Gemini 4 Carbon scores Gray Swan IPI Benchmark: 100.0%, Vending-Bench 2: 100.0%, Graphwalks BFS >128k: 96.2%, WebDev Arena: 88.4%, SEC-bench Pro: 88.2%.

What are the context window sizes for DeepSeek-V4.1-Flash and Gemini 4 Carbon?

DeepSeek-V4.1-Flash supports 1.0M tokens and Gemini 4 Carbon supports an unknown number of 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 Gemini 4 Carbon?

Key differences include LLM Stats Score (49.5 vs 58.8), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash and Gemini 4 Carbon?

DeepSeek-V4.1-Flash is developed by DeepSeek and Gemini 4 Carbon is developed by Google.