BenchmarksMotif TechnologiesToday
Motif-2-12.7B-Reasoning Benchmark Update
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
View sourceMotif-Technologies
Motif-2-12.7B-Reasoning is a open-weight Motif-Technologies llm model with a 131,072 token context window.
Running this yourself: desktop gpu should be enough.
Live access is not confirmed for this model. No current purchase price is advertised.
No current subscription pricing is tracked for this model.
Confirm this specific model, usage limits, and billing terms with the provider. A subscription does not automatically include API credits.
No login needed to compare. Prices are in USD; provider charges are separate from AI Market Cap plans. Context length, caching, tools, taxes, and regional terms can change the final cost. Open weights do not mean free hosting.
---
Quality Score
---
Arena ELO
13B
Parameters
131K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
14 of 22 public signals
Sign in to join the discussion
266
Downloads
54
Likes
Nov 2025
Released
4/5 signals
2/4 signals
3/5 signals
3/4 signals
2/4 signals
Gaps we are still tracking
Benchmarks
20
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
View sourceQuality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
View sourceQuality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
View sourceQuality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
View sourceQuality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
View sourceQuality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%
Quality: 9.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.796% | HumanEval: 0.651%