| Signal | Maestro Reasoning | Delta | Mellum |
|---|---|---|---|
Capabilities | 17 | -- | |
Benchmarks | 24 | +24 | |
Pricing | 97 | -3 | |
Context window size | 73 | +73 | |
Recency | 63 | -5 | |
Output Capacity | 75 | +55 | |
| Overall Result | 3 wins | of 6 | 2 wins |
Score History
25.9
current score
Maestro Reasoning
right now
25.7
current score
arcee-ai
JetBrains
Mellum saves you $255.00/month
That's $3060.00/year compared to Maestro Reasoning at your current usage level of 100K calls/month.
| Metric | Maestro Reasoning | Mellum | Winner |
|---|---|---|---|
| Overall Score | 26 | 26 | Maestro Reasoning |
| Rank | #328 | #329 | Maestro Reasoning |
| Quality Rank | #328 | #329 | Maestro Reasoning |
| Adoption Rank | #328 | #329 | Maestro Reasoning |
| Parameters | -- | -- | -- |
| Context Window | 131K | -- | -- |
| Pricing | $0.90/$3.30/M | Free | -- |
| Signal Scores | |||
| Capabilities | 17 | 17 | Maestro Reasoning |
| Benchmarks | 24 | -- | Maestro Reasoning |
| Pricing | 97 | 100 | Mellum |
| Context window size | 73 | 0 | Maestro Reasoning |
| Recency | 63 | 67 | Mellum |
| Output Capacity | 75 | 20 | Maestro Reasoning |
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 26/100 (rank #328), placing it in the top -13% of all 290 models tracked.
Scores 26/100 (rank #329), placing it in the top -13% 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.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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. Mellum 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 ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (26/100) correlates with better nuance, coherence, and style in long-form content
Maestro Reasoning and Mellum are extremely close in overall performance (only 0.1999999999999993 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Maestro Reasoning
Marginally better benchmark scores; both are excellent
Best for Cost
Mellum
100% lower pricing; better value at scale
Best for Reliability
Maestro Reasoning
Higher uptime and faster response speeds
Best for Prototyping
Maestro Reasoning
Stronger community support and better developer experience
Best for Production
Maestro Reasoning
Wider enterprise adoption and proven at scale
by arcee-ai
| Capability | Maestro Reasoning | Mellum |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
arcee-ai
JetBrains
Mellum saves you $5.58/month
That's 100% cheaper than Maestro Reasoning 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 | Maestro Reasoning | Mellum |
|---|---|---|
| Context Window | 131K | -- |
| Max Output Tokens | 32,000 | -- |
| Open Source | No | No |
| Created | May 5, 2025 | Jun 1, 2025 |