Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B leads with 8.6% higher average benchmark score. Gemini 2.5 Flash offers 737.9K more tokens in context window than Qwen3-235B-A22B. Both models have similar pricing. Gemini 2.5 Flash supports multimodal inputs. Overall, Qwen3-235B-A22B is the stronger choice for coding tasks.
Google DeepMind
Gemini 2.5 Flash, released by Google in June 2025, is a large language model from the Gemini 2.5 family optimized for high-throughput, cost-efficient deployments with multimodal reasoning. It features a 1M token context window, hybrid thinking control, and native support for text, image, video, and audio input. Gemini 2.5 Flash targets latency-sensitive applications, document analysis, and high-volume API workloads that benefit from combined reasoning and generation in a single model.
Alibaba / Qwen
Qwen3-235B-A22B, released by Alibaba's Qwen team on April 28, 2025, is a Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters per inference. It features a 256K token context window, hybrid thinking capabilities (both reasoning and direct generation modes), and was trained on 36 trillion tokens across 119 languages. Qwen3-235B targets complex reasoning, multilingual tasks, and open-source deployments under the Apache 2.0 license.
1 month newer
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28

Gemini 2.5 Flash
Google DeepMind
2025-06-17
Cost per million tokens (USD)
Gemini 2.5 Flash
Qwen3-235B-A22B
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini 2.5 Flash
Qwen3-235B-A22B
Performance comparison across key benchmark categories
Gemini 2.5 Flash
Qwen3-235B-A22B
Available providers and their performance metrics
Gemini 2.5 Flash
Google Cloud Vertex AI
Qwen3-235B-A22B
Gemini 2.5 Flash
Qwen3-235B-A22B
Gemini 2.5 Flash
Qwen3-235B-A22B
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