workhorse
Qwen Max vs Gemini 2.5 Pro
Side-by-side pricing, context window, features, and per-use-case verdict. Data sourced from LiteLLM, updated regularly.
Specifications
| Feature | Qwen Max | Gemini 2.5 Pro |
|---|---|---|
| Provider | dashscope | vertex ai-language-models |
| Model ID | dashscope/qwen-max | gemini-2.5-pro |
| Input / 1M tokens | $1.60 | $1.25 (22% cheaper) |
| Output / 1M tokens | $6.40 (36% cheaper) | $10.00 |
| Cached input / 1M | — | $0.13 |
| Context window | 31kk tokens | 1049kk tokens |
| Max output | 8kk tokens | 66kk tokens |
| Vision | ⬜ | ✅ |
| Function calling | ✅ | ✅ |
| Prompt caching | ⬜ | ✅ |
| Web search | ⬜ | ✅ |
| JSON schema | ⬜ | ✅ |
Monthly cost comparison
No cache discount applied — pure token costs at three usage scales.
| Scale | Qwen Max | Gemini 2.5 Pro | Winner |
|---|---|---|---|
| Small 1M in / 0.2M out | $2.88 | $3.25 | Qwen Max saves 11% |
| Medium 10M in / 2M out | $28.80 | $32.50 | Qwen Max saves 11% |
| Large 100M in / 20M out | $288 | $325 | Qwen Max saves 11% |
Category winners
Cheapest input
Gemini 2.5 Pro
$1.25/M
· 22% less than the other
Cheapest output
Qwen Max
$6.40/M
· 36% less than the other
Larger context
Gemini 2.5 Pro
1049kk tokens · 3313% larger window
More features
Gemini 2.5 Pro
5 / 5 capabilities
Better for…
High-volume RAG & repeated context
$0.13/M cached input — prompt caching makes repeated context retrieval significantly cheaper
Gemini 2.5 Pro
Short interactions & high-throughput APIs
$6.40/M output — 36% cheaper on output at scale
Qwen Max
Long-document processing & large codebases
1049k context window vs 31k — 3313% larger context
Gemini 2.5 Pro
Agentic workflows & tool use
Supports 5 of 5 tracked capabilities (vision, function calling, caching, web search, JSON schema)
Gemini 2.5 Pro
Deep-dive on each model
Pricing data sourced from LiteLLM and refreshed regularly. Always verify with each provider's official pricing page before making business decisions.