| Signal | Mercury 2 | Delta | Qwen3 8B |
|---|---|---|---|
Capabilities | 67 | -- | |
Benchmarks | 60 | 0 | |
Pricing | 99 | 0 | |
Context window size | 73 | 0 | |
Recency | 100 | +44 | |
Output Capacity | 78 | +13 | |
| Overall Result | 2 wins | of 6 | 3 wins |
Score History
60.5
current score
Qwen3 8B
right now
60.6
current score
Inception
Alibaba
Qwen3 8B saves you $37.50/month
That's $450.00/year compared to Mercury 2 at your current usage level of 100K calls/month.
| Metric | Mercury 2 | Qwen3 8B | Winner |
|---|---|---|---|
| Overall Score | 61 | 61 | Qwen3 8B |
| Rank | #138 | #137 | Qwen3 8B |
| Quality Rank | #138 | #137 | Qwen3 8B |
| Adoption Rank | #138 | #137 | Qwen3 8B |
| Parameters | -- | 8B | -- |
| Context Window | 128K | 131K | Qwen3 8B |
| Pricing | $0.25/$0.75/M | $0.05/$0.40/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Mercury 2 |
| Benchmarks | 60 | 60 | Qwen3 8B |
| Pricing | 99 | 100 | Qwen3 8B |
| Context window size | 73 | 73 | Qwen3 8B |
| Recency | 100 | 56 | Mercury 2 |
| Output Capacity | 78 | 65 | Mercury 2 |
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 61/100 (rank #138), placing it in the top 53% of all 290 models tracked.
Scores 61/100 (rank #137), placing it in the top 53% 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.
Qwen3 8B offers 55% better value per quality point. At 1M tokens/day, you'd spend $6.75/month with Qwen3 8B vs $15.00/month with Mercury 2 - a $8.25 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 8B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (61/100) correlates with better nuance, coherence, and style in long-form content
Mercury 2 and Qwen3 8B are extremely close in overall performance (only 0.10000000000000142 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Mercury 2
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 8B
55% 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
| Capability | Mercury 2 | Qwen3 8B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Inception
Alibaba
Qwen3 8B saves you $0.7800/month
That's 58% 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 8B |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 50,000 | 8,192 |
| Open Source | No | Yes |
| Created | Mar 4, 2026 | Apr 28, 2025 |