MiniMax-M2.7 vs Sonar Pro
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | MiniMax-M2.7 | Sonar Pro |
|---|---|---|
| Developer | MiniMax | Perplexity |
| Family | Minimax M2 7 | Sonar |
| Model | MiniMax-M2.7 | Sonar Pro |
| Version | MiniMax-M2.7 | Sonar Pro |
| Lifecycle | active | active |
| Released | 2026-03-18 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 204,800 | 200,000 |
| Total parameters | 228,689,764,864 | Unknown |
| Active parameters | Unknown | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Openrouter (Standard) | Openrouter (Standard), Perplexity (Standard) |
| Capabilities | chat, generation, tools | chat, citations, search |
13 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
MiniMax-M2.7 Capabilities
Sonar Pro Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
SonarPerplexity | vs | Sonar ProPerplexity | family variantstext |
Sonar ProPerplexity | vs | Sonar Reasoning ProPerplexity | family variantstext |
Sonar Deep ResearchPerplexity | vs | Sonar ProPerplexity | family variantstext |
MiniMax-M2.5MiniMax | vs | MiniMax-M2.7MiniMax | family variantstext |
MiniMax-M2.7MiniMax | vs | MiniMax-M3MiniMax | family variantstext |
 ERNIE 5.1Baidu | vs | Sonar ProPerplexity | cross-developer peerstext |
ERNIE X1.1Baidu | vs | Sonar ProPerplexity | cross-developer peerstext |
| vs | MiniMax-M2.7MiniMax | cross-developer peerstext | |
MiniMax-M2.7MiniMax | vs |  Hy3Tencent | cross-developer peerstext |
MiniMax-M2.7MiniMax | vs |  Mistral-Medium-3.5-128BMistral AI | cross-developer peerstext |
MiniMax-M2.7MiniMax | vs | Devstral-2-123B-Instruct-2512Mistral AI | cross-developer peerstext |
MiniMax-M2.7MiniMax | vs | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
MiniMax-M2.7 vs Sonar Pro FAQs
Is MiniMax-M2.7 or Sonar Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax-M2.7 and Sonar Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, MiniMax-M2.7 or Sonar Pro?+
MiniMax-M2.7 is $0.25 and Sonar Pro is $3.00 per million tokens, so MiniMax-M2.7 is cheaper on this metric. MiniMax-M2.7 is $1.00 and Sonar Pro is $15.00 per million tokens, so MiniMax-M2.7 is cheaper on this metric.
Which has a larger context window, MiniMax-M2.7 or Sonar Pro?+
MiniMax-M2.7 has the larger sourced context window. MiniMax-M2.7 supports 204,800 and Sonar Pro supports 200,000.
Which performs better in benchmarks, MiniMax-M2.7 or Sonar Pro?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can MiniMax-M2.7 or Sonar Pro be self-hosted?+
MiniMax-M2.7 is the only model in this pair currently marked as self-hostable. MiniMax-M2.7 is open weight; Sonar Pro is not marked open weight.
Can MiniMax-M2.7 and Sonar Pro understand images?+
MiniMax-M2.7 is not documented with image input; Sonar Pro is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, MiniMax-M2.7 or Sonar Pro?+
Neither has a larger sourced maximum output. MiniMax-M2.7 is — and Sonar Pro is —.
Do MiniMax-M2.7 and Sonar Pro support reasoning and tool use?+
MiniMax-M2.7: tool calling. Sonar Pro: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, MiniMax-M2.7 or Sonar Pro?+
MiniMax-M2.7 has 2 sourced provider routes; Sonar Pro has 2, a tie.
Which offers better value, MiniMax-M2.7 or Sonar Pro?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.