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Leaderboard / DeepSeek

DeepSeek-V3.1

DeepSeek OPEN MIT
Other settings:Thinking · 65
Verdict

DeepSeek-V3.1 is a solid mid-pack model: #114 of 406 by SIscope score. Strongest at chat quality, weaker at coding. Cheaper than 76% of priced models. Weights are open, so you can run it yourself.

SIscope score
65
#114 of 406
Human-vote rank
#118
of 419 · score 1420
Price per 1M tokens, blended
$0.42
$0.25 in · $0.95 out
Context window
164K
163,840 tokens

Shape

Each spoke is a category, 0 at the centre, 100 at the edge.

CodingAgentsno data yetReasoningMathChatInstructions

Category scores

Percentiles: 90 means better than about 90% of tested models.

Coding62
Agents & toolsNo data yet–
Reasoning & knowledge66
Math69
Chat quality72
Following instructions65

What goes into each category · Compare with Gemini 4 Carbon

Human-vote score over time

Text arena, recent updates.

141514201425Oct 20: 1419.7 (rank #117)Oct 22: 1419.6 (rank #117)Oct 28: 1419.5 (rank #118)Oct 20Oct 28

Independent test runs

Run by Epoch AI on the same harness for every model. Bars show the share of questions answered correctly.

No Epoch AI runs for this model yet.

Human-vote arenas

People compare two anonymous answers and pick the better one. Scores work like chess ratings.

ArenaRankScoreRange (95%)VotesUpdated
Text arena
Everyday chat, blind human votes
#118 of 41914201414–142614,606Oct 28, 2026
WebDev arena
Building web apps, blind human votes
Not on this board yet
Vision arena
Questions about images, blind human votes
Not on this board yet
Agent arena
Real multi-step agent sessions
Not on this board yet

Source: Arena (formerly LMArena) leaderboard dataset, CC BY 4.0. Fetched Nov 4, 2026.

Price

Input
$0.25
per 1M tokens
Output
$0.95
per 1M tokens
Blended
$0.42
3 in : 1 out, per 1M
Context window
164K
max tokens per request
Speed
Coming soon
our own tests

List price from the OpenRouter models API (deepseek/deepseek-chat-v3.1), Nov 4, 2026. Providers can charge differently.