Gemini 2.5 Pro vs Qwen3 235B A22B Thinking 2507
| Signal | Gemini 2.5 Pro | Delta | Qwen3 235B A22B Thinking 2507 |
|---|---|---|---|
Capabilities | 100 | +50 | |
Benchmarks | 80 | +15 | |
Pricing | 90 | -6 | |
Context window size | 96 | +14 | |
Recency | 40 | -7 | |
Output Capacity | 77 | +10 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
83.5
current score
Gemini 2.5 Pro
right now
64.7
current score
Gemini 2.5 Pro
Qwen3 235B A22B Thinking 2507
Alibaba
Qwen3 235B A22B Thinking 2507 saves you $405.00/month
That's $4860.00/year compared to Gemini 2.5 Pro at your current usage level of 100K calls/month.
| Metric | Gemini 2.5 Pro | Qwen3 235B A22B Thinking 2507 | Winner |
|---|---|---|---|
| Overall Score | 84 | 65 | Gemini 2.5 Pro |
| Rank | #71 | #149 | Gemini 2.5 Pro |
| Quality Rank | #71 | #149 | Gemini 2.5 Pro |
| Adoption Rank | #71 | #149 | Gemini 2.5 Pro |
| Parameters | -- | 235B | -- |
| Context Window | 1049K | 128K | Gemini 2.5 Pro |
| Pricing | $1.25/$10.00/M | $0.45/$3.50/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | Gemini 2.5 Pro |
| Benchmarks | 80 | 64 | Gemini 2.5 Pro |
| Pricing | 90 | 97 | Qwen3 235B A22B Thinking 2507 |
| Context window size | 96 | 81 | Gemini 2.5 Pro |
| Recency | 40 | 47 | Qwen3 235B A22B Thinking 2507 |
| Output Capacity | 77 | 67 | Gemini 2.5 Pro |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 84/100 (rank #71), placing it in the top 76% of all 290 models tracked.
Scores 65/100 (rank #149), placing it in the top 49% of all 290 models tracked.
Gemini 2.5 Pro has a 19-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose Gemini 2.5 Pro when you need:
- Processing long documents or large codebases (1049K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
Choose Qwen3 235B A22B Thinking 2507 when you need:
- High-volume production workloads where API costs must be minimized
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Qwen3 235B A22B Thinking 2507 offers 65% better value per quality point. At 1M tokens/day, you'd spend $59.25/month with Qwen3 235B A22B Thinking 2507 vs $168.75/month with Gemini 2.5 Pro - a $109.50 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Qwen3 235B A22B Thinking 2507 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($3.50/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (84/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Gemini 2.5 Pro clearly outperforms Qwen3 235B A22B Thinking 2507 with a significant 18.799999999999997-point lead. For most general use cases, Gemini 2.5 Pro is the stronger choice. However, Qwen3 235B A22B Thinking 2507 may still excel in niche scenarios.
By Use Case
Best for Quality
Gemini 2.5 Pro
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 235B A22B Thinking 2507
65% lower pricing; better value at scale
Best for Reliability
Gemini 2.5 Pro
Higher uptime and faster response speeds
Best for Prototyping
Gemini 2.5 Pro
Stronger community support and better developer experience
Best for Production
Gemini 2.5 Pro
Wider enterprise adoption and proven at scale
by Google
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | Gemini 2.5 Pro | Qwen3 235B A22B Thinking 2507 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Gemini 2.5 Pro
Qwen3 235B A22B Thinking 2507
Alibaba
Qwen3 235B A22B Thinking 2507 saves you $9.24/month
That's 65% cheaper than Gemini 2.5 Pro at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Gemini 2.5 Pro | Qwen3 235B A22B Thinking 2507 |
|---|---|---|
| Context Window | 1.0M | 128K |
| Max Output Tokens | 65,536 | 16,384 |
| Open Source | No | Yes |
| Created | Jun 17, 2025 | Jul 25, 2025 |