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Model Comparison

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

Meta

Llama 3.3 70B Instruct

Meta

Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). The model shows particular specialization in code tasks with an average performance of 89.4%. It supports a 256K 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 3.3 70B Instruct

Meta

2024-12-06

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

2025-07-25

7 months newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.3 70B Instruct

$2.90 cheaper
Input:$0.20
Output:$0.20
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Input:$0.30
Output:$3.00

Performance Metrics

Context window and performance specifications

Meta

Llama 3.3 70B Instruct

Max Context:256.0K
Parameters:70.0B
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 3.3 70B Instruct

Average Score:70.5%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+13.9%
Average Score:84.4%

Performance comparison across key benchmark categories

Meta

Llama 3.3 70B Instruct

code
+35.4%
89.4%
math
+24.0%
84.0%
general
70.7%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

code
53.9%
math
60.1%
general
+6.7%
77.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Meta

Llama 3.3 70B Instruct

9 providers

Sambanova

Throughput: 1096 tok/s
Latency: 0.65ms

Together

Throughput: 65 tok/s
Latency: 0.65ms

Hyperbolic

Throughput: 42 tok/s
Latency: 0.65ms

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms

Fireworks

Throughput: 197 tok/s
Latency: 0.65ms

Groq

Throughput: 268 tok/s
Latency: 0.65ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.65ms

Cerebras

Throughput: 2220 tok/s
Latency: 0.65ms
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

1 providers

Novita

Meta

Llama 3.3 70B Instruct

Avg Score:70.5%
Providers:9
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+13.9%
Avg Score:84.4%
Providers:1