Model Comparison

DeepSeek R1 Distill Llama 70B vs GPT-5.1 High

GPT-5.1 High significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is 19.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Llama 70B outperforms in 0 benchmarks, while GPT-5.1 High is better at 1 benchmark (GPQA).

GPT-5.1 High significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Llama 70B costs less

For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 12.5x cheaper than GPT-5.1 High ($1.25/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 25.0x cheaper than GPT-5.1 High ($10.00/1M tokens).

In conclusion, GPT-5.1 High is more expensive than DeepSeek R1 Distill Llama 70B.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
OpenAI
GPT-5.1 High
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.1 High accepts 400,000 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
OpenAI
GPT-5.1 High
Input400,000 tokens
Output128,000 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.1 High supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.

GPT-5.1 High can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Llama 70B

Text
Images
Audio
Video

GPT-5.1 High

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, while GPT-5.1 High uses a proprietary license.

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

DeepSeek R1 Distill Llama 70B

MIT

Open weights

GPT-5.1 High

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while GPT-5.1 High was released on 2025-11-12.

GPT-5.1 High is 10 months newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.2 years ago

GPT-5.1 High

Nov 12, 2025

5 months ago

9mo 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

Provider Availability

DeepSeek R1 Distill Llama 70B is available from DeepInfra. GPT-5.1 High is available from OpenAI.

DeepSeek R1 Distill Llama 70B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

GPT-5.1 High

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Higher GPQA score (88.1% vs 65.2%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 70B
OpenAI
GPT-5.1 High

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs GPT-5.1 High

GPT-5.1 High significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is made by DeepSeek and GPT-5.1 High is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. GPT-5.1 High scores AIME 2025: 99.6%, GPQA: 88.1%.
DeepSeek R1 Distill Llama 70B is 12.5x cheaper for input tokens. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra. GPT-5.1 High costs $1.25/M input and $10.00/M output via openai.
DeepSeek R1 Distill Llama 70B supports 128K tokens and GPT-5.1 High supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 400K), input pricing ($0.10 vs $1.25/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Llama 70B is developed by DeepSeek and GPT-5.1 High is developed by OpenAI.