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Llama 3.1 70B Instruct vs Qwen3 VL 235B A22B Instruct

Qwen3 VL 235B A22B Instruct leads the LLM Stats Score 24.7 to 7.6. Llama 3.1 70B Instruct is 1.8x cheaper per token.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 VL 235B A22B Instruct leads the overall LLM Stats Score 24.7 to 7.6, ranking #162 overall.

In the 3 individual benchmarks reported for both models, Qwen3 VL 235B A22B Instruct wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 3.1 70B Instruct is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3 VL 235B A22B Instruct also accepts a larger context window (262,144 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 3.1 70B Instruct

  • cost matters — it's about 1.8x cheaper per token

Choose Qwen3 VL 235B A22B Instruct

  • overall performance matters — it scores 24.7 and ranks #162 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you process long inputs — it offers a 262,144 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
7.6
#286
24.7
#162
6.3
#288
22.5
#170
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.20 / M
$0.20 / M
Output price
$0.20 / M
$0.88 / M
Context window
128,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Llama 3.1 70B Instruct
Qwen3 VL 235B A22B Instruct
11.4#241
23.8#124
9.3#149
25.9#54
9.3#131
27.0#29
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Llama 3.1 70B Instruct · 50 for Qwen3 VL 235B A22B Instruct

3 shared

Llama 3.1 70B Instruct outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Instruct is better at 3 benchmarks (IFEval, MMLU, MMLU-Pro).

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks.

Wed Sep 16 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 70B Instruct costs less

For input processing, Llama 3.1 70B Instruct ($0.20/1M tokens) costs the same as Qwen3 VL 235B A22B Instruct ($0.20/1M tokens).

For output processing, Llama 3.1 70B Instruct ($0.20/1M tokens) is 4.4x cheaper than Qwen3 VL 235B A22B Instruct ($0.88/1M tokens).

In conclusion, Qwen3 VL 235B A22B Instruct is more expensive than Llama 3.1 70B Instruct.*

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

Lowest available price from all providers
Wed Sep 16 2026 • llm-stats.com
Meta
Llama 3.1 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input tokens$0.20
Output tokens$0.88
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

166.0B diff

Qwen3 VL 235B A22B Instruct has 166.0B more parameters than Llama 3.1 70B Instruct, making it 237.1% larger.

Meta
Llama 3.1 70B Instruct
70.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
236.0Bparameters
70.0B
Llama 3.1 70B Instruct
236.0B
Qwen3 VL 235B A22B Instruct

Context Window

Maximum input and output token capacity

Qwen3 VL 235B A22B Instruct accepts 262,144 input tokens compared to Llama 3.1 70B Instruct's 128,000 tokens. Qwen3 VL 235B A22B Instruct can generate longer responses up to 262,144 tokens, while Llama 3.1 70B Instruct is limited to 128,000 tokens.

Meta
Llama 3.1 70B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input262,144 tokens
Output262,144 tokens
Wed Sep 16 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 235B A22B Instruct supports multimodal inputs, whereas Llama 3.1 70B Instruct does not.

Qwen3 VL 235B A22B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.1 70B Instruct

Text
Images
Audio
Video

Qwen3 VL 235B A22B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 70B Instruct is licensed under Llama 3.1 Community License, while Qwen3 VL 235B A22B Instruct uses Apache 2.0.

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

Llama 3.1 70B Instruct

Llama 3.1 Community License

Open weights

Qwen3 VL 235B A22B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 70B Instruct was released on 2024-07-23, while Qwen3 VL 235B A22B Instruct was released on 2025-09-22.

Qwen3 VL 235B A22B Instruct is 14 months newer than Llama 3.1 70B Instruct.

Llama 3.1 70B Instruct

Jul 23, 2024

2.1 years ago

Qwen3 VL 235B A22B Instruct

Sep 22, 2025

11 months ago

1.2yr 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 3.1 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Cerebras, Together, Fireworks, Bedrock, Sambanova. Qwen3 VL 235B A22B Instruct is available from DeepInfra, Novita.

Llama 3.1 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput 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: $0.78/1M
cerebras logo
Cerebras
Input Price:Input: $0.60/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
sambanova logo
Sambanova
Input Price:Input: $5.00/1MOutput Price:Output: $10.00/1M

Qwen3 VL 235B A22B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $0.88/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.50/1M
* 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 3.1 70B Instruct and Qwen3 VL 235B A22B Instruct side-by-side, then vote on the output you prefer.

Llama 3.1 70B Instruct
✓ Preferred
Qwen3 VL 235B A22B Instruct
Open in Playground

FAQ

Common questions about Llama 3.1 70B Instruct vs Qwen3 VL 235B A22B Instruct.

Which is better, Llama 3.1 70B Instruct or Qwen3 VL 235B A22B Instruct?

Qwen3 VL 235B A22B Instruct leads the LLM Stats Score 24.7 to 7.6. Llama 3.1 70B Instruct is made by Meta and Qwen3 VL 235B A22B 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 3.1 70B Instruct compare to Qwen3 VL 235B A22B Instruct in benchmarks?

Llama 3.1 70B Instruct scores GSM-8K (CoT): 95.1%, ARC-C: 94.8%, API-Bank: 90.0%, IFEval: 87.5%, Multilingual MGSM (CoT): 86.9%. Qwen3 VL 235B A22B Instruct scores DocVQAtest: 97.1%, ScreenSpot: 95.4%, MMLU-Redux: 92.2%, OCRBench: 92.0%, MMBench-V1.1: 89.9%.

Is Llama 3.1 70B Instruct cheaper than Qwen3 VL 235B A22B Instruct?

Both models cost $0.20 per million input tokens.

What are the context window sizes for Llama 3.1 70B Instruct and Qwen3 VL 235B A22B Instruct?

Llama 3.1 70B Instruct supports 128K tokens and Qwen3 VL 235B A22B Instruct supports 262K 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 70B Instruct and Qwen3 VL 235B A22B Instruct?

Key differences include LLM Stats Score (7.6 vs 24.7), context window (128K vs 262K), 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 70B Instruct and Qwen3 VL 235B A22B Instruct?

Llama 3.1 70B Instruct is developed by Meta and Qwen3 VL 235B A22B Instruct is developed by Alibaba Cloud / Qwen Team.