Mercury 3 vs Ternary Bonsai 2 9B
| Signal | Mercury 3 | Delta | Ternary Bonsai 2 9B |
|---|---|---|---|
Capabilities | 67 | -17 | |
Pricing | 100 | 0 | |
Context window size | 95 | +9 | |
Recency | 100 | -- | |
Output Capacity | 82 | +5 | |
| Overall Result | 2 wins | of 5 | 2 wins |
Score History
40
current score
Tied
right now
40
current score
Mercury 3
Inception
Ternary Bonsai 2 9B
prism-ml
Ternary Bonsai 2 9B saves you $13.00/month
That's $156.00/year compared to Mercury 3 at your current usage level of 100K calls/month.
| Metric | Mercury 3 | Ternary Bonsai 2 9B | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #193 | #194 | Mercury 3 |
| Quality Rank | #193 | #194 | Mercury 3 |
| Adoption Rank | #193 | #194 | Mercury 3 |
| Parameters | -- | 9B | -- |
| Context Window | 1000K | 262K | Mercury 3 |
| Pricing | $0.10/$0.35/M | $0.08/$0.13/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Ternary Bonsai 2 9B |
| Pricing | 100 | 100 | Ternary Bonsai 2 9B |
| Context window size | 95 | 86 | Mercury 3 |
| Recency | 100 | 100 | Mercury 3 |
| Output Capacity | 82 | 77 | Mercury 3 |
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 #193), placing it in the top 34% of all 290 models tracked.
Scores 40/100 (rank #194), placing it in the top 33% 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 3 when you need:
- Processing long documents or large codebases (1000K token context)
- Step-by-step reasoning and chain-of-thought problem solving
Choose Ternary Bonsai 2 9B when you need:
- High-volume production workloads where API costs must be minimized
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Ternary Bonsai 2 9B offers 53% better value per quality point. At 1M tokens/day, you'd spend $3.15/month with Ternary Bonsai 2 9B vs $6.75/month with Mercury 3 - a $3.60 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. Ternary Bonsai 2 9B 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 ($0.13/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 3 and Ternary Bonsai 2 9B 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 3
Marginally better benchmark scores; both are excellent
Best for Cost
Ternary Bonsai 2 9B
53% lower pricing; better value at scale
Best for Reliability
Mercury 3
Higher uptime and faster response speeds
Best for Prototyping
Mercury 3
Stronger community support and better developer experience
Best for Production
Mercury 3
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 3 | Ternary Bonsai 2 9B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mercury 3
Inception
Ternary Bonsai 2 9B
prism-ml
Ternary Bonsai 2 9B saves you $0.3000/month
That's 50% cheaper than Mercury 3 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 3 | Ternary Bonsai 2 9B |
|---|---|---|
| Context Window | 1M | 262K |
| Max Output Tokens | 131,072 | 65,536 |
| Open Source | No | Yes |
| Created | Oct 16, 2026 | Oct 16, 2026 |