Gemini 2.5 Flash vs Qwen 3
2026 - Pricing, benchmarks, and use case comparison
Quick take
- •Qwen 3 is open-weights - free to self-host with no API costs. Gemini 2.5 Flash requires paid API access.
- •Gemini 2.5 Flash has a 1M context window - 8x larger than Qwen 3's 128K. Better for long documents and large codebases.
- •Qwen 3 is open-source: fine-tune it, self-host it, or use any inference provider. Gemini 2.5 Flash is closed-source.
Specs comparison
| Gemini 2.5 Flash | Qwen 3 | |
|---|---|---|
| Provider | Google DeepMind | Alibaba (Qwen Team) |
| Type | Closed source | Open source |
| Context window | ✓1M | 128K |
| Input / 1M tokens | $0.075 | ✓Free (self-host) |
| Output / 1M tokens | $0.30 | Free (self-host) |
| Release date | 2025-05 | 2025-04 |
Benchmarks
| Benchmark | Gemini 2.5 Flash | Qwen 3 |
|---|---|---|
| MMLU | ~89% | ~87% |
| HumanEval | ~85% | ~89% |
Scores sourced from official provider release posts.
Strengths
Gemini 2.5 Flash
- ✓Exceptional price-to-performance ratio
- ✓1M context at near-commodity pricing
- ✓Multimodal support at low cost
- ✓Fast inference latency
- ✓Strong summarization and classification
Qwen 3
- ✓Exceptional multilingual support (100+ languages)
- ✓Apache 2.0 license - fully open for commercial use
- ✓Multiple size variants from 0.6B to 235B MoE
- ✓Strong math and coding across models
- ✓Leading performance for Chinese language tasks
Which should you choose?
Choose Gemini 2.5 Flash if you need...
- →High-volume, long-context tasks
- →Cost-sensitive production workloads
- →Document and media summarization
- →Retrieval-augmented pipelines
Choose Qwen 3 if you need...
- →Multilingual applications
- →Self-hosted cost-sensitive deployments
- →Custom fine-tuning on domain-specific data
- →Asian market applications