Model profile
DeepSeek

DeepSeek V3.1 (Reasoning)

DeepSeek V3.1 (Reasoning) is a budget-priced text-first model from DeepSeek with partial runtime data, partial context coverage, and the clearest fit around agent workflows / coding.

Best for: Agent workflows / CodingN/A latencyN/A contextBudget pricing
Intelligence
27.7

Benchmark blend

Coding
29.7

Dev workflow signal

Context
N/A

N/A

Input Price
$0.59

Budget tier

Decision snapshot
42

DeepSeek V3.1 (Reasoning) currently reads as a budget text-first option with partially published context and a partially published runtime profile.

Overall profile
Use-case specific
Best for
Agent workflows / Coding
Latency tier
N/A
Price tier
Budget
Source coverage
OpenRouterArtificial Analysis

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
27.7
28

General reasoning and benchmark headroom.

Limited
Speed
N/A
N/A

Latency data is partial.

Unavailable
Context
N/A
N/A

How much prompt and task state can stay in view.

Unavailable
Price
$0.59
86

$1.69 output / 1M

Efficient

Editorial Profile

DeepSeek V3.1 (Reasoning) in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Use-case specificCoding score 30Math score 90

The DeepSeek V3.1 (Reasoning) AI model by DeepSeek.

Identity

DeepSeek text-first profile

Positioning

Agent workflows / Coding with partially published context and partially published runtime.

Cost posture

Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.

Strengths
  • The available source data suggests a balanced profile rather than one dominant edge.

Tradeoffs
  • Budget-friendly input pricing is a strength, but raw capability may vary by workload.

  • Latency data is incomplete, so interactive responsiveness is harder to rank confidently.

  • Current metadata points to a text-first profile rather than a broad multimodal one.

  • Context limits are only partially published, so long-session planning needs extra validation.

Best fit
  • Focused chat, retrieval-augmented flows, and narrower production tasks.

Explore Next

Similar profiles worth opening next

DeepSeek

DeepSeek: DeepSeek V3.2

Intelligence
41.7
Context
164K Tokens
Input Price
$0.28
DeepSeek

DeepSeek: DeepSeek V3.1 Terminus

Intelligence
33.9
Context
164K Tokens
Input Price
$1.64
DeepSeek

DeepSeek V3.2 Exp (Reasoning)

Intelligence
32.9
Context
N/A
Input Price
$0.28

Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
27.7
MMLU Pro
85.1%
GPQA
77.9%
HLE
13.0%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
29.7
LiveCodeBench
0.784
SciCode
39.1%
Math

Formal reasoning, structured problem solving, and competition-style math.

Math Index
89.7
AIME 2025
89.7%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
41.5%
TAU2
37.4%
TerminalBench Hard
25.0%
LCR
53.3%

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
N/A
Vision
Text-first
Price architecture
Input
per 1M input tokens
$0.59
Output
per 1M output tokens
$1.69
Blended
AA 3:1 mix
$0.86

This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.