Model Comparison

DeepSeek R1 Distill Llama 70B vs GPT-4.5Which is better in 2026?

Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Llama 70B is 535.7x cheaper per token.

Verdict: DeepSeek R1 Distill Llama 70B vs GPT-4.5 — which is better?

DeepSeek R1 Distill Llama 70B (by DeepSeek) and GPT-4.5 (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (AIME 2024), while GPT-4.5 is better at 1 benchmark (GPQA). Both models are evenly matched across the benchmarks.

On price, DeepSeek R1 Distill Llama 70B is roughly 535.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose DeepSeek R1 Distill Llama 70B if…

  • cost matters — it's about 535.7x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose GPT-4.5 if…

  • you want the most recent training data — it shipped Feb 2025
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (AIME 2024), while GPT-4.5 is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Fri Jun 19 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 750.0x cheaper than GPT-4.5 ($75.00/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 375.0x cheaper than GPT-4.5 ($150.00/1M tokens).

In conclusion, GPT-4.5 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
Fri Jun 19 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
OpenAI
GPT-4.5
Input tokens$75.00
Output tokens$150.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while GPT-4.5 is limited to 4,096 tokens.

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
OpenAI
GPT-4.5
Input128,000 tokens
Output4,096 tokens
Fri Jun 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.5 supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.

GPT-4.5 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-4.5

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, while GPT-4.5 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-4.5

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while GPT-4.5 was released on 2025-02-27.

GPT-4.5 is 1 month newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.4 years ago

GPT-4.5

Feb 27, 2025

1.3 years 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

Provider Availability

DeepSeek R1 Distill Llama 70B is available from DeepInfra. GPT-4.5 is available from OpenAI.

DeepSeek R1 Distill Llama 70B

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

GPT-4.5

openai logo
OpenAI
Input Price:Input: $75.00/1MOutput Price:Output: $150.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2024 score (86.7% vs 36.7%)
OpenAI
Supports multimodal inputs
Higher GPQA score (69.5% vs 65.2%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 70B
OpenAI
GPT-4.5

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs GPT-4.5.

Which is better, DeepSeek R1 Distill Llama 70B or GPT-4.5?

Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Llama 70B is made by DeepSeek and GPT-4.5 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Llama 70B compare to GPT-4.5 in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. GPT-4.5 scores GSM8k: 97.0%, MMLU: 90.8%, CharXiv-D: 90.0%, IFEval: 88.2%, HumanEval: 88.0%.

Is DeepSeek R1 Distill Llama 70B cheaper than GPT-4.5?

DeepSeek R1 Distill Llama 70B is 750.0x cheaper for input tokens. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra. GPT-4.5 costs $75.00/M input and $150.00/M output via openai.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and GPT-4.5?

DeepSeek R1 Distill Llama 70B supports 128K tokens and GPT-4.5 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 R1 Distill Llama 70B and GPT-4.5?

Key differences include input pricing ($0.10 vs $75.00/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 70B and GPT-4.5?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and GPT-4.5 is developed by OpenAI.

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