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Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Meta

Llama 3.1 8B Instruct

Meta

Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME25 (92.3%), WritingBench (88.3%). It supports a 387K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Meta

Llama 3.1 8B Instruct

Meta

2024-07-23

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

2025-07-25

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.1 8B Instruct

$3.24 cheaper
Input:$0.03
Output:$0.03
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Input:$0.30
Output:$3.00

Performance Metrics

Context window and performance specifications

Meta

Llama 3.1 8B Instruct

Max Context:262.1K
Parameters:8.0B
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Larger context
Max Context:387.1K
Parameters:235.0B

Average performance across 3 common benchmarks

Meta

Llama 3.1 8B Instruct

Average Score:53.0%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+31.4%
Average Score:84.4%

Performance comparison across key benchmark categories

Meta

Llama 3.1 8B Instruct

reasoning
+18.5%
83.4%
general
54.0%
math
+8.3%
68.4%
code
+11.9%
65.8%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

reasoning
64.9%
general
+23.4%
77.4%
math
60.1%
code
53.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Llama 3.1 8B Instruct

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Meta

Llama 3.1 8B Instruct

9 providers

Sambanova

Throughput: 1050 tok/s
Latency: 0.5ms

Together

Throughput: 194 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 200 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 118 tok/s
Latency: 0.5ms

Fireworks

Throughput: 292 tok/s
Latency: 0.5ms

Groq

Throughput: 750 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Cerebras

Throughput: 2047 tok/s
Latency: 0.2ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

1 providers

Novita

Meta

Llama 3.1 8B Instruct

Avg Score:53.0%
Providers:9
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+31.4%
Avg Score:84.4%
Providers:1