Mercury 2 vs Qwen3.5-Flash
| Signal | Mercury 2 | Delta | Qwen3.5-Flash |
|---|---|---|---|
Capabilities | 67 | -17 | |
Pricing | 99 | 0 | |
Context window size | 81 | -14 | |
Recency | 88 | +1 | |
Output Capacity | 75 | -2 | |
| Overall Result | 1 wins | of 5 | 4 wins |
Score History
40
current score
Tied
right now
40
current score
Mercury 2
Inception
Qwen3.5-Flash
Alibaba
Qwen3.5-Flash saves you $43.00/month
That's $516.00/year compared to Mercury 2 at your current usage level of 100K calls/month.
| Metric | Mercury 2 | Qwen3.5-Flash | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #343 | #345 | Mercury 2 |
| Quality Rank | #343 | #345 | Mercury 2 |
| Adoption Rank | #343 | #345 | Mercury 2 |
| Parameters | -- | -- | -- |
| Context Window | 128K | 1000K | Qwen3.5-Flash |
| Pricing | $0.25/$0.75/M | $0.07/$0.26/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Qwen3.5-Flash |
| Pricing | 99 | 100 | Qwen3.5-Flash |
| Context window size | 81 | 95 | Qwen3.5-Flash |
| Recency | 88 | 87 | Mercury 2 |
| Output Capacity | 75 | 77 | Qwen3.5-Flash |
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 40/100 (rank #343), placing it in the top -18% of all 290 models tracked.
Scores 40/100 (rank #345), placing it in the top -19% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Choose Mercury 2 when you need:
- Step-by-step reasoning and chain-of-thought problem solving
Choose Qwen3.5-Flash when you need:
- High-volume production workloads where API costs must be minimized
- Processing long documents or large codebases (1000K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
Qwen3.5-Flash offers 68% better value per quality point. At 1M tokens/day, you'd spend $4.88/month with Qwen3.5-Flash vs $15.00/month with Mercury 2 - a $10.13 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. Qwen3.5-Flash also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.26/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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
Mercury 2 and Qwen3.5-Flash are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
Mercury 2
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-Flash
68% lower pricing; better value at scale
Best for Reliability
Mercury 2
Higher uptime and faster response speeds
Best for Prototyping
Mercury 2
Stronger community support and better developer experience
Best for Production
Mercury 2
Wider enterprise adoption and proven at scale
by Inception
- 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 | Mercury 2 | Qwen3.5-Flash |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mercury 2
Inception
Qwen3.5-Flash
Alibaba
Qwen3.5-Flash saves you $0.9210/month
That's 68% cheaper than Mercury 2 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 | Mercury 2 | Qwen3.5-Flash |
|---|---|---|
| Context Window | 128K | 1M |
| Max Output Tokens | 50,000 | 65,536 |
| Open Source | No | No |
| Created | Mar 4, 2026 | Feb 25, 2026 |