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

Qwen3-235B-A22B-Instruct-2507

Alibaba

Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Meta

Llama 3.1 8B Instruct

Meta

2024-07-23

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

12 months newer

Performance Metrics

Context window and performance specifications

Meta

Llama 3.1 8B Instruct

Larger context
Max Context:262.1K
Parameters:8.0B
Alibaba

Qwen3-235B-A22B-Instruct-2507

Max Context:-
Parameters:235.0B

Average performance across 3 common benchmarks

Meta

Llama 3.1 8B Instruct

Average Score:53.0%
Alibaba

Qwen3-235B-A22B-Instruct-2507

+30.0%
Average Score:83.1%

Performance comparison across key benchmark categories

Meta

Llama 3.1 8B Instruct

reasoning
+15.0%
83.4%
general
54.0%
code
65.8%
math
+18.2%
68.4%
Alibaba

Qwen3-235B-A22B-Instruct-2507

reasoning
68.4%
general
+19.7%
73.7%
code
+4.5%
70.3%
math
50.2%
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

Lambda

Throughput: 42 tok/s
Latency: 0.5ms

Cerebras

Throughput: 2047 tok/s
Latency: 0.2ms
Alibaba

Qwen3-235B-A22B-Instruct-2507

0 providers
Meta

Llama 3.1 8B Instruct

Avg Score:53.0%
Providers:9
Alibaba

Qwen3-235B-A22B-Instruct-2507

+30.0%
Avg Score:83.1%
Providers:0