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DeepSeek-V4-Pro-0813 vs Gemini 4 Carbon

Gemini 4 Carbon leads the LLM Stats Score 57.5 to 49.3.

DeepSeek · Google · Updated for 2026

Which is better?

Gemini 4 Carbon leads the overall LLM Stats Score 57.5 to 49.3, ranking #4 overall.

In the 1 individual benchmarks reported for both models, Gemini 4 Carbon wins 1; 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-Pro-0813

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

Choose Gemini 4 Carbon

  • overall performance matters — it scores 57.5 and ranks #4 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
Gemini 4 Carbon
Google
Core performance indexes
LLM Stats Score
49.3
#25
57.5
#4
Reasoning
47.2
#28
53.5
#7
Coding
38.1
#27
46.4
#4
Agents
34.5
#31
44.4
#4
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$1.30 / M
— / M
Output price
$2.60 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Pro-0813
Gemini 4 Carbon
Tool use
27.7#31
34.3#5
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for DeepSeek-V4-Pro-0813 · 16 for Gemini 4 Carbon

1 shared

DeepSeek-V4-Pro-0813 outperforms in 0 benchmarks, while Gemini 4 Carbon is better at 1 benchmark (AutomationBench).

Gemini 4 Carbon significantly outperforms across most benchmarks.

Wed Nov 11 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-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output1,048,576 tokens
Google
Gemini 4 Carbon
Input- tokens
Output- tokens
Wed Nov 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Carbon supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.

Gemini 4 Carbon can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Pro-0813

Text
Images
Audio
Video

Gemini 4 Carbon

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 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-Pro-0813

MIT

Open weights

Gemini 4 Carbon

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Gemini 4 Carbon was released on 2026-10-28.

Gemini 4 Carbon is 3 months newer than DeepSeek-V4-Pro-0813.

DeepSeek-V4-Pro-0813

Aug 13, 2026

2 months ago

Gemini 4 Carbon

Oct 28, 2026

1 weeks ago

2mo 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-Pro-0813 and Gemini 4 Carbon side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
Gemini 4 Carbon
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Gemini 4 Carbon.

Which is better, DeepSeek-V4-Pro-0813 or Gemini 4 Carbon?

Gemini 4 Carbon leads the LLM Stats Score 57.5 to 49.3. DeepSeek-V4-Pro-0813 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-Pro-0813 compare to Gemini 4 Carbon in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. 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-Pro-0813 and Gemini 4 Carbon?

DeepSeek-V4-Pro-0813 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-Pro-0813 and Gemini 4 Carbon?

Key differences include LLM Stats Score (49.3 vs 57.5), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-0813 and Gemini 4 Carbon?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Gemini 4 Carbon is developed by Google.

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