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DeepSeek-V3 vs Llama 3.3 70B Instruct

DeepSeek-V3 and Llama 3.3 70B Instruct are closely matched at 15.6 and 13.8 on the LLM Stats Score. Llama 3.3 70B Instruct is 3.4x cheaper per token.

DeepSeek · Meta · Updated for 2026

Which is better?

DeepSeek-V3 and Llama 3.3 70B Instruct are closely matched on the overall LLM Stats Score at 15.6 and 13.8.

In the 4 individual benchmarks reported for both models, DeepSeek-V3 wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 3.3 70B Instruct is roughly 3.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose DeepSeek-V3

  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • you want the most recent training data — it shipped Dec 2024

Choose Llama 3.3 70B Instruct

  • cost matters — it's about 3.4x cheaper per token

At a glance

The differences that matter most.

DeepSeek-V3
DeepSeek
Llama 3.3 70B Instruct
Meta
Core performance indexes
LLM Stats Score
15.6
#236
13.8
#249
Reasoning
14.8
#235
11.7
#259
Coding
6.2
#200
9.3
#181
Cost, coverage & limits
Benchmark wins
3 of 4
1 of 4
Input price
$0.27 / M
$0.10 / M
Output price
$0.89 / M
$0.20 / M
Context window
131,072
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V3
Llama 3.3 70B Instruct
Math
18.0#190
17.5#196
Finance
19.9#82
14.0#131
Legal
19.9#67
14.0#116
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V3 · 9 for Llama 3.3 70B Instruct

4 shared

DeepSeek-V3 outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Llama 3.3 70B Instruct is better at 1 benchmark (IFEval).

DeepSeek-V3 shows notably better performance in the majority of benchmarks.

Fri Oct 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 3.3 70B Instruct costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 2.7x more expensive than Llama 3.3 70B Instruct ($0.10/1M tokens).

For output processing, DeepSeek-V3 ($0.89/1M tokens) is 4.5x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than Llama 3.3 70B Instruct.*

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

Lowest available price from all providers
Fri Oct 02 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$0.89
Best providerDeepSeek
Meta
Llama 3.3 70B Instruct
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

601.0B diff

DeepSeek-V3 has 601.0B more parameters than Llama 3.3 70B Instruct, making it 858.6% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
671.0B
DeepSeek-V3
70.0B
Llama 3.3 70B Instruct

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Both models can generate responses up to 131,072 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Meta
Llama 3.3 70B Instruct
Input131,072 tokens
Output131,072 tokens
Fri Oct 02 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Llama 3.3 70B Instruct was released on 2024-12-06.

DeepSeek-V3 is 1 month newer than Llama 3.3 70B Instruct.

DeepSeek-V3

Dec 25, 2024

1.8 years ago

2w newer
Llama 3.3 70B Instruct

Dec 6, 2024

1.8 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 is available from DeepSeek, DeepInfra. Llama 3.3 70B Instruct is available from DeepInfra, Lambda, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.32/1MOutput Price:Output: $0.89/1M

Llama 3.3 70B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.32/1M
lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $7.90/1M
sambanova logo
Sambanova
Input Price:Input: $0.60/1MOutput Price:Output: $1.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.70/1MOutput Price:Output: $0.80/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
together logo
Together
Input Price:Input: $0.88/1MOutput Price:Output: $0.88/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V3 and Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground

FAQ

Common questions about DeepSeek-V3 vs Llama 3.3 70B Instruct.

Which is better, DeepSeek-V3 or Llama 3.3 70B Instruct?

DeepSeek-V3 and Llama 3.3 70B Instruct are closely matched on the LLM Stats Score at 15.6 and 13.8. DeepSeek-V3 is made by DeepSeek and Llama 3.3 70B Instruct is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V3 compare to Llama 3.3 70B Instruct in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

Is DeepSeek-V3 cheaper than Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct is 2.7x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $0.89/M output via deepseek. Llama 3.3 70B Instruct costs $0.10/M input and $0.20/M output via deepinfra.

What are the context window sizes for DeepSeek-V3 and Llama 3.3 70B Instruct?

DeepSeek-V3 supports 131K tokens and Llama 3.3 70B Instruct supports 131K 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 and Llama 3.3 70B Instruct?

Key differences include LLM Stats Score (15.6 vs 13.8), input pricing ($0.27 vs $0.10/M), licensing (MIT + Model License (Commercial use allowed) vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Llama 3.3 70B Instruct?

DeepSeek-V3 is developed by DeepSeek and Llama 3.3 70B Instruct is developed by Meta.

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