The AI arena is free today

Open Superagent

DeepSeek-V3.1 vs GPT-4o

DeepSeek-V3.1 leads the LLM Stats Score 22.3 to 11.6. DeepSeek-V3.1 is 9.7x cheaper per token.

DeepSeek · OpenAI · Updated for 2026

Which is better?

DeepSeek-V3.1 leads the overall LLM Stats Score 22.3 to 11.6, ranking #168 overall.

In the 2 individual benchmarks reported for both models, DeepSeek-V3.1 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V3.1 is roughly 9.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V3.1 also accepts a larger context window (163,840 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-V3.1

  • overall performance matters — it scores 22.3 and ranks #168 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 9.7x cheaper per token
  • you process long inputs — it offers a 163,840 token context window
  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune

Choose GPT-4o

  • you want predictable pricing at $2.50/M input and $10.00/M output

At a glance

The differences that matter most.

DeepSeek-V3.1
DeepSeek
GPT-4o
OpenAI
Core performance indexes
LLM Stats Score
22.3
#168
11.6
#246
Reasoning
22.6
#161
12.3
#234
Coding
12.8
#135
11.8
#144
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.27 / M
$2.50 / M
Output price
$1.00 / M
$10.00 / M
Context window
163,840
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3.1
GPT-4o
Math
18.9#167
18.3#173
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for DeepSeek-V3.1 · 8 for GPT-4o

2 shared

DeepSeek-V3.1 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while GPT-4o is better at 0 benchmarks.

DeepSeek-V3.1 significantly outperforms across most benchmarks.

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.1 costs less

For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 9.3x cheaper than GPT-4o ($2.50/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 10.0x cheaper than GPT-4o ($10.00/1M tokens).

In conclusion, GPT-4o is more expensive than DeepSeek-V3.1.*

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

Lowest available price from all providers
Sun Sep 06 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

DeepSeek-V3.1 accepts 163,840 input tokens compared to GPT-4o's 128,000 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while GPT-4o is limited to 4,096 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
OpenAI
GPT-4o
Input128,000 tokens
Output4,096 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4o supports multimodal inputs, whereas DeepSeek-V3.1 does not.

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

DeepSeek-V3.1

Text
Images
Audio
Video

GPT-4o

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.1 is licensed under MIT, while GPT-4o uses a proprietary license.

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

DeepSeek-V3.1

MIT

Open weights

GPT-4o

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while GPT-4o was released on 2024-05-13.

DeepSeek-V3.1 is 8 months newer than GPT-4o.

DeepSeek-V3.1

Jan 10, 2025

1.7 years ago

8mo newer
GPT-4o

May 13, 2024

2.3 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-V3.1 is available from DeepInfra, Novita. GPT-4o is available from Azure, OpenAI.

DeepSeek-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
* 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-V3.1 and GPT-4o side-by-side, then vote on the output you prefer.

DeepSeek-V3.1
✓ Preferred
GPT-4o
Open in Playground

FAQ

Common questions about DeepSeek-V3.1 vs GPT-4o.

Which is better, DeepSeek-V3.1 or GPT-4o?

DeepSeek-V3.1 leads the LLM Stats Score 22.3 to 11.6. DeepSeek-V3.1 is made by DeepSeek and GPT-4o is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V3.1 compare to GPT-4o in benchmarks?

DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. GPT-4o scores MGSM: 90.5%, HumanEval: 90.2%, MMLU: 88.7%, DROP: 83.4%, MATH: 76.6%.

Is DeepSeek-V3.1 cheaper than GPT-4o?

DeepSeek-V3.1 is 9.3x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. GPT-4o costs $2.50/M input and $10.00/M output via azure.

What are the context window sizes for DeepSeek-V3.1 and GPT-4o?

DeepSeek-V3.1 supports 164K tokens and GPT-4o supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.1 and GPT-4o?

Key differences include LLM Stats Score (22.3 vs 11.6), context window (164K vs 128K), input pricing ($0.27 vs $2.50/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.1 and GPT-4o?

DeepSeek-V3.1 is developed by DeepSeek and GPT-4o is developed by OpenAI.

Related comparisons