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Llama 3.3 70B Instruct vs Qwen3 VL 8B Instruct

Llama 3.3 70B Instruct and Qwen3 VL 8B Instruct are closely matched at 13.9 and 14.1 on the LLM Stats Score. Qwen3 VL 8B Instruct is 1.1x cheaper per token.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama 3.3 70B Instruct and Qwen3 VL 8B Instruct are closely matched on the overall LLM Stats Score at 13.9 and 14.1.

In the 3 individual benchmarks reported for both models, Llama 3.3 70B Instruct wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3 VL 8B Instruct is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3 VL 8B Instruct also accepts a larger context window (131,072 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 Llama 3.3 70B Instruct

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results

Choose Qwen3 VL 8B Instruct

  • cost matters — it's about 1.1x cheaper per token
  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Core performance indexes
13.9
#232
14.1
#229
11.8
#241
11.4
#245
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
$0.20 / M
$0.08 / M
Output price
$0.20 / M
$0.50 / M
Context window
128,000
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Llama 3.3 70B Instruct
Qwen3 VL 8B Instruct
17.7#185
12.3#226
14.2#125
15.2#117
14.2#110
14.8#105
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Llama 3.3 70B Instruct · 46 for Qwen3 VL 8B Instruct

3 shared

Llama 3.3 70B Instruct outperforms in 2 benchmarks (IFEval, MMLU), while Qwen3 VL 8B Instruct is better at 1 benchmark (MMLU-Pro).

Llama 3.3 70B Instruct shows notably better performance in the majority of benchmarks.

Tue Sep 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 8B Instruct costs less

For input processing, Llama 3.3 70B Instruct ($0.20/1M tokens) is 2.5x more expensive than Qwen3 VL 8B Instruct ($0.08/1M tokens).

For output processing, Llama 3.3 70B Instruct ($0.20/1M tokens) is 2.5x cheaper than Qwen3 VL 8B Instruct ($0.50/1M tokens).

In conclusion, Llama 3.3 70B Instruct is more expensive than Qwen3 VL 8B Instruct.*

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

Lowest available price from all providers
Tue Sep 08 2026 • llm-stats.com
Meta
Llama 3.3 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Instruct
Input tokens$0.08
Output tokens$0.50
Best providerNovita
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

61.0B diff

Llama 3.3 70B Instruct has 61.0B more parameters than Qwen3 VL 8B Instruct, making it 677.8% larger.

Meta
Llama 3.3 70B Instruct
70.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Instruct
9.0Bparameters
70.0B
Llama 3.3 70B Instruct
9.0B
Qwen3 VL 8B Instruct

Context Window

Maximum input and output token capacity

Qwen3 VL 8B Instruct accepts 131,072 input tokens compared to Llama 3.3 70B Instruct's 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 128,000 tokens, while Qwen3 VL 8B Instruct is limited to 32,768 tokens.

Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Instruct
Input131,072 tokens
Output32,768 tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 8B Instruct supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.

Qwen3 VL 8B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.3 70B Instruct

Text
Images
Audio
Video

Qwen3 VL 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, while Qwen3 VL 8B Instruct uses Apache 2.0.

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

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Qwen3 VL 8B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.3 70B Instruct was released on 2024-12-06, while Qwen3 VL 8B Instruct was released on 2025-09-22.

Qwen3 VL 8B Instruct is 10 months newer than Llama 3.3 70B Instruct.

Llama 3.3 70B Instruct

Dec 6, 2024

1.8 years ago

Qwen3 VL 8B Instruct

Sep 22, 2025

11 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

Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks. Qwen3 VL 8B Instruct is available from Novita, DeepInfra.

Llama 3.3 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.23/1MOutput Price:Output: $0.40/1M
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

Qwen3 VL 8B Instruct

novita logo
Novita
Input Price:Input: $0.08/1MOutput Price:Output: $0.50/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.69/1M
* 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 Llama 3.3 70B Instruct and Qwen3 VL 8B Instruct side-by-side, then vote on the output you prefer.

Llama 3.3 70B Instruct
✓ Preferred
Qwen3 VL 8B Instruct
Open in Playground

FAQ

Common questions about Llama 3.3 70B Instruct vs Qwen3 VL 8B Instruct.

Which is better, Llama 3.3 70B Instruct or Qwen3 VL 8B Instruct?

Llama 3.3 70B Instruct and Qwen3 VL 8B Instruct are closely matched on the LLM Stats Score at 13.9 and 14.1. Llama 3.3 70B Instruct is made by Meta and Qwen3 VL 8B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Llama 3.3 70B Instruct compare to Qwen3 VL 8B Instruct in benchmarks?

Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%. Qwen3 VL 8B Instruct scores DocVQAtest: 96.1%, ScreenSpot: 94.4%, OCRBench: 89.6%, AI2D: 85.7%, MMBench-V1.1: 85.0%.

Is Llama 3.3 70B Instruct cheaper than Qwen3 VL 8B Instruct?

Qwen3 VL 8B Instruct is 2.5x cheaper for input tokens. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output via lambda. Qwen3 VL 8B Instruct costs $0.08/M input and $0.50/M output via novita.

What are the context window sizes for Llama 3.3 70B Instruct and Qwen3 VL 8B Instruct?

Llama 3.3 70B Instruct supports 128K tokens and Qwen3 VL 8B 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 Llama 3.3 70B Instruct and Qwen3 VL 8B Instruct?

Key differences include LLM Stats Score (13.9 vs 14.1), context window (128K vs 131K), input pricing ($0.20 vs $0.08/M), multimodal support (no vs yes), licensing (Llama 3.3 Community License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.3 70B Instruct and Qwen3 VL 8B Instruct?

Llama 3.3 70B Instruct is developed by Meta and Qwen3 VL 8B Instruct is developed by Alibaba Cloud / Qwen Team.