Gemini 2.5 Pro Preview 06-05 vs Qwen3 235B A22B Instruct 2507
| Signal | Gemini 2.5 Pro Preview 06-05 | Delta | Qwen3 235B A22B Instruct 2507 |
|---|---|---|---|
Capabilities | 100 | +50 | |
Benchmarks | 80 | +15 | |
Pricing | 90 | -9 | |
Context window size | 96 | +10 | |
Recency | 38 | -8 | |
Output Capacity | 77 | -4 | |
| Overall Result | 3 wins | of 6 | 3 wins |
Score History
83.5
current score
Gemini 2.5 Pro Preview 06-05
right now
64.7
current score
Gemini 2.5 Pro Preview 06-05
Qwen3 235B A22B Instruct 2507
Alibaba
Qwen3 235B A22B Instruct 2507 saves you $571.00/month
That's $6852.00/year compared to Gemini 2.5 Pro Preview 06-05 at your current usage level of 100K calls/month.
| Metric | Gemini 2.5 Pro Preview 06-05 | Qwen3 235B A22B Instruct 2507 | Winner |
|---|---|---|---|
| Overall Score | 84 | 65 | Gemini 2.5 Pro Preview 06-05 |
| Rank | #72 | #150 | Gemini 2.5 Pro Preview 06-05 |
| Quality Rank | #72 | #150 | Gemini 2.5 Pro Preview 06-05 |
| Adoption Rank | #72 | #150 | Gemini 2.5 Pro Preview 06-05 |
| Parameters | -- | 235B | -- |
| Context Window | 1049K | 262K | Gemini 2.5 Pro Preview 06-05 |
| Pricing | $1.25/$10.00/M | $0.14/$0.80/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | Gemini 2.5 Pro Preview 06-05 |
| Benchmarks | 80 | 64 | Gemini 2.5 Pro Preview 06-05 |
| Pricing | 90 | 99 | Qwen3 235B A22B Instruct 2507 |
| Context window size | 96 | 86 | Gemini 2.5 Pro Preview 06-05 |
| Recency | 38 | 47 | Qwen3 235B A22B Instruct 2507 |
| Output Capacity | 77 | 81 | Qwen3 235B A22B Instruct 2507 |
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 #72), placing it in the top 76% of all 290 models tracked.
Scores 65/100 (rank #150), placing it in the top 49% of all 290 models tracked.
Gemini 2.5 Pro Preview 06-05 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 Preview 06-05 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 Instruct 2507 when you need:
- High-volume production workloads where API costs must be minimized
- Self-hosted deployments where you need full control over the model
Qwen3 235B A22B Instruct 2507 offers 92% better value per quality point. At 1M tokens/day, you'd spend $14.10/month with Qwen3 235B A22B Instruct 2507 vs $168.75/month with Gemini 2.5 Pro Preview 06-05 - a $154.65 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 Instruct 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 ($0.80/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 Preview 06-05 clearly outperforms Qwen3 235B A22B Instruct 2507 with a significant 18.799999999999997-point lead. For most general use cases, Gemini 2.5 Pro Preview 06-05 is the stronger choice. However, Qwen3 235B A22B Instruct 2507 may still excel in niche scenarios.
By Use Case
Best for Quality
Gemini 2.5 Pro Preview 06-05
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 235B A22B Instruct 2507
92% lower pricing; better value at scale
Best for Reliability
Gemini 2.5 Pro Preview 06-05
Higher uptime and faster response speeds
Best for Prototyping
Gemini 2.5 Pro Preview 06-05
Stronger community support and better developer experience
Best for Production
Gemini 2.5 Pro Preview 06-05
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 Preview 06-05 | Qwen3 235B A22B Instruct 2507 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Gemini 2.5 Pro Preview 06-05
Qwen3 235B A22B Instruct 2507
Alibaba
Qwen3 235B A22B Instruct 2507 saves you $13.04/month
That's 91% cheaper than Gemini 2.5 Pro Preview 06-05 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 Preview 06-05 | Qwen3 235B A22B Instruct 2507 |
|---|---|---|
| Context Window | 1.0M | 262K |
| Max Output Tokens | 65,536 | 117,964 |
| Open Source | No | Yes |
| Created | Jun 5, 2025 | Jul 21, 2025 |