DeepSeek
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...
Running this yourself: likely needs a high-memory cloud gpu.
OpenRouter
Price record: 2026-10-03. Source: openrouter.
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46.4
Quality Score
1334
Arena ELO
671B
Parameters
164K
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.
18 of 22 public signals
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Aug 2025
Released
4/5 signals
4/4 signals
5/5 signals
1/4 signals
4/4 signals
Parameters
671B
Training compute
3.6e24 FLOP
Dataset scale
840.0B units
Base model
DeepSeek-V3
Source-reported access: Open weights (unrestricted) · Confident confidence
Gaps we are still tracking
Pricing
1
Benchmarks
3
Open Source
1
Research
2
General
2
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
LiveCodeBench pass@1 49.6 across 1055 tasks
GAIA score 13.0 from deepseek
View sourceGAIA score 27.9 from GAIA-Agent-v0908
View sourceDeepSeek V3.1 is now available through local Ollama runtime. 160K context window listed. DeepSeek-V3.1-Terminus is a hybrid model that supports both thinking mode and non-thinking mode.
View sourceWe introduce Nemotron-Cascade 2, an open 30B MoE model with 3B activated parameters that delivers best-in-class reasoning and strong agentic capabilities. Despite its compact size, its mathematical and coding reasoning performance approaches that of frontier open models. It is the second open-weight LLM, after DeepSeekV3.2-Speciale-671B-A37B, to achieve Gold Medal-level performance in the 2025 International Mathematical Olympiad (IMO), the International Olympiad in Informatics (IOI), and the ICPC World Finals, demonstrating remarkably high intelligence density with 20x fewer parameters. In contrast to Nemotron-Cascade 1, the key technical advancements are as follows. After SFT on a meticulously curated dataset, we substantially expand Cascade RL to cover a much broader spectrum of reasoning and agentic domains. Furthermore, we introduce multi-domain on-policy distillation from the strongest intermediate teacher models for each domain throughout the Cascade RL process, allowing us to efficiently recover benchmark regressions and sustain strong performance gains along the way. We release the collection of model checkpoint and training data.
We introduce Nemotron-Cascade 2, an open 30B MoE model with 3B activated parameters that delivers best-in-class reasoning and strong agentic capabilities. Despite its compact size, its mathematical and coding reasoning performance approaches that of frontier open models. It is the second open-weight LLM, after DeepSeekV3.2-Speciale-671B-A37B, to achieve Gold Medal-level performance in the 2025 International Mathematical Olympiad (IMO), the International Olympiad in Informatics (IOI), and the ICPC World Finals, demonstrating remarkably high intelligence density with 20x fewer parameters. In contrast to Nemotron-Cascade 1, the key technical advancements are as follows. After SFT on a meticulously curated dataset, we substantially expand Cascade RL to cover a much broader spectrum of reasoning and agentic domains. Furthermore, we introduce multi-domain on-policy distillation from the strongest intermediate teacher models for each domain throughout the Cascade RL process, allowing us to efficiently recover benchmark regressions and sustain strong performance gains along the way. We release the collection of model checkpoint and training data.
DeepSeek V3.1 is now available through local Ollama runtime. 160K context window listed. DeepSeek-V3.1-Terminus is a hybrid model that supports both thinking mode and non-thinking mode.
LiveCodeBench pass@1 49.6 across 1055 tasks
GAIA score 27.9 from GAIA-Agent-v0908