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Llama 3.1 8B Instruct vs Qwen3 VL 30B A3B Thinking

Qwen3 VL 30B A3B Thinking leads the LLM Stats Score 18.2 to -2.6. Llama 3.1 8B Instruct is 17.7x cheaper per token.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 VL 30B A3B Thinking leads the overall LLM Stats Score 18.2 to -2.6, ranking #229 overall.

In the 4 individual benchmarks reported for both models, Qwen3 VL 30B A3B Thinking wins 4; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 3.1 8B Instruct is roughly 17.7x 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 Llama 3.1 8B Instruct

  • cost matters — it's about 17.7x cheaper per token

Choose Qwen3 VL 30B A3B Thinking

  • overall performance matters — it scores 18.2 and ranks #229 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Core performance indexes
-2.6
#355
18.2
#229
-3.6
#353
19.5
#215
Cost, coverage & limits
Benchmark wins
0 of 4
4 of 4
Input price
$0.02 / M
$0.20 / M
Output price
$0.03 / M
$0.99 / M
Context window
131,072
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Llama 3.1 8B Instruct
Qwen3 VL 30B A3B Thinking
-2.5#317
22.3#144
-3.0#209
23.5#68
-3.0#196
23.6#54
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Llama 3.1 8B Instruct · 50 for Qwen3 VL 30B A3B Thinking

4 shared

Llama 3.1 8B Instruct outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 4 benchmarks (GPQA, IFEval, MMLU, MMLU-Pro).

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 3.1 8B Instruct costs less

For input processing, Llama 3.1 8B Instruct ($0.02/1M tokens) is 10.0x cheaper than Qwen3 VL 30B A3B Thinking ($0.20/1M tokens).

For output processing, Llama 3.1 8B Instruct ($0.03/1M tokens) is 33.0x cheaper than Qwen3 VL 30B A3B Thinking ($0.99/1M tokens).

In conclusion, Qwen3 VL 30B A3B Thinking is more expensive than Llama 3.1 8B Instruct.*

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

Lowest available price from all providers
Thu Oct 08 2026 • llm-stats.com
Meta
Llama 3.1 8B Instruct
Input tokens$0.02
Output tokens$0.03
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input tokens$0.20
Output tokens$0.99
Best providerNovita
Notice missing or incorrect data?

Model Size

Parameter count comparison

23.0B diff

Qwen3 VL 30B A3B Thinking has 23.0B more parameters than Llama 3.1 8B Instruct, making it 287.5% larger.

Meta
Llama 3.1 8B Instruct
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
31.0Bparameters
8.0B
Llama 3.1 8B Instruct
31.0B
Qwen3 VL 30B A3B Thinking

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Llama 3.1 8B Instruct can generate longer responses up to 131,072 tokens, while Qwen3 VL 30B A3B Thinking is limited to 32,768 tokens.

Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 30B A3B Thinking supports multimodal inputs, whereas Llama 3.1 8B Instruct does not.

Qwen3 VL 30B A3B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.1 8B Instruct

Text
Images
Audio
Video

Qwen3 VL 30B A3B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 8B Instruct is licensed under Llama 3.1 Community License, while Qwen3 VL 30B A3B Thinking uses Apache 2.0.

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

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Qwen3 VL 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 8B Instruct was released on 2024-07-23, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

Qwen3 VL 30B A3B Thinking is 14 months newer than Llama 3.1 8B Instruct.

Llama 3.1 8B Instruct

Jul 23, 2024

2.2 years ago

Qwen3 VL 30B A3B Thinking

Sep 22, 2025

1.0 years ago

1.2yr newer

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while Qwen3 VL 30B A3B Thinking's cutoff date is not specified.

We can confirm Llama 3.1 8B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen3 VL 30B A3B Thinking's cutoff date.

Llama 3.1 8B Instruct

Dec 2023

Qwen3 VL 30B A3B Thinking

—

Provider Availability

Llama 3.1 8B Instruct is available from DeepInfra, Lambda, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock. Qwen3 VL 30B A3B Thinking is available from Novita, DeepInfra.

Llama 3.1 8B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M
lambda logo
Lambda
Input Price:Input: $0.03/1MOutput Price:Output: $0.03/1M
groq logo
Groq
Input Price:Input: $0.05/1MOutput Price:Output: $0.08/1M
sambanova logo
Sambanova
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
together logo
Together
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.22/1MOutput Price:Output: $0.22/1M

Qwen3 VL 30B A3B Thinking

novita logo
Novita
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.29/1MOutput Price:Output: $0.99/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Llama 3.1 8B Instruct and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.

Llama 3.1 8B Instruct
✓ Preferred
Qwen3 VL 30B A3B Thinking
Open in Playground

FAQ

Common questions about Llama 3.1 8B Instruct vs Qwen3 VL 30B A3B Thinking.

Which is better, Llama 3.1 8B Instruct or Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking leads the LLM Stats Score 18.2 to -2.6. Llama 3.1 8B Instruct is made by Meta and Qwen3 VL 30B A3B Thinking 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 3.1 8B Instruct compare to Qwen3 VL 30B A3B Thinking in benchmarks?

Llama 3.1 8B Instruct scores GSM-8K (CoT): 84.5%, ARC-C: 83.4%, API-Bank: 82.6%, IFEval: 80.4%, BFCL: 76.1%. Qwen3 VL 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.

Is Llama 3.1 8B Instruct cheaper than Qwen3 VL 30B A3B Thinking?

Llama 3.1 8B Instruct is 10.0x cheaper for input tokens. Llama 3.1 8B Instruct costs $0.02/M input and $0.03/M output via deepinfra. Qwen3 VL 30B A3B Thinking costs $0.20/M input and $0.99/M output via novita.

What are the context window sizes for Llama 3.1 8B Instruct and Qwen3 VL 30B A3B Thinking?

Llama 3.1 8B Instruct supports 131K tokens and Qwen3 VL 30B A3B Thinking 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 3.1 8B Instruct and Qwen3 VL 30B A3B Thinking?

Key differences include LLM Stats Score (-2.6 vs 18.2), input pricing ($0.02 vs $0.20/M), multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 8B Instruct and Qwen3 VL 30B A3B Thinking?

Llama 3.1 8B Instruct is developed by Meta and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.