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DeepSeek V4 Pro 0423 vs Ling-2.6-1T

DeepSeek V4 Pro 0423

DeepSeek

40#286
vs
Ling-2.6-1T

inclusionai

40#288
Signal-by-Signal Comparison
SignalDeepSeek V4 Pro 0423DeltaLing-2.6-1T
Capabilities
67
+17
50
Pricing
98
-1
99
Context window size
96
+10
86
Recency
100
--
100
Output Capacity
93
+18
75
Overall Result
3 wins
of 5
1 wins
DeepSeek V4 Pro 0423 wins 3 of 5 signals

Score History

Score History (16 data points)
DeepSeek V4 Pro 0423Ling-2.6-1T
DeepSeek V4 Pro 0423

40

current score

Leader

Tied

right now

Ling-2.6-1T

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

DeepSeek V4 Pro 0423

DeepSeek

Per request$0.001650
Daily$5.50
Monthly$165.00
Annual$1980.00

Ling-2.6-1T

inclusionai

Best Value
Per request$0.000387
Daily$1.29
Monthly$38.75
Annual$465.00

Ling-2.6-1T saves you $126.25/month

That's $1515.00/year compared to DeepSeek V4 Pro 0423 at your current usage level of 100K calls/month.

77% cheaper
Choose Ling-2.6-1T for cost optimization

DeepSeek V4 Pro 0423 pricing:
Input:$0.66/M tokens
Output:$1.98/M tokens
Ling-2.6-1T pricing:
Input:$0.07/M tokens
Output:$0.63/M tokens
Tie
DeepSeek V4 Pro 0423

DeepSeek

40

Composite Score

Tie
Ling-2.6-1T

inclusionai

40

Composite Score

Signal-by-Signal Comparison
MetricDeepSeek V4 Pro 0423Ling-2.6-1TWinner
Overall Score
40
40
--
Rank#286#288
DeepSeek V4 Pro 0423
Quality Rank#286#288
DeepSeek V4 Pro 0423
Adoption Rank#286#288
DeepSeek V4 Pro 0423
Parameters------
Context Window1049K262K
DeepSeek V4 Pro 0423
Pricing$0.66/$1.98/M$0.07/$0.63/M--
Signal Scores
Capabilities
67
50
DeepSeek V4 Pro 0423
Pricing
98
99
Ling-2.6-1T
Context window size
96
86
DeepSeek V4 Pro 0423
Recency
100
100
DeepSeek V4 Pro 0423
Output Capacity
93
75
DeepSeek V4 Pro 0423
Benchmark Head-to-Head(4 benchmarks)
DeepSeek V4: 0Ling-2.6-1T: 0
DeepSeek V4
Ling-2.6-1T
Normalized 0-100%
MMLU-Pro
87.5%-
GPQA Diamond
90.1%-
SWE-bench Verified
80.6%-
Arena Elo
1463-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

DeepSeek V4 Pro 0423Entry Level

Scores 40/100 (rank #286), placing it in the top 2% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Ling-2.6-1TEntry Level

Scores 40/100 (rank #288), placing it in the top 1% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose DeepSeek V4 Pro 0423 when you need:

  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Ling-2.6-1T when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
DeepSeek V4 Pro 0423
Input cost$0.66/M tokens
Output cost$1.98/M tokens
Cost per quality point$0.066
Est. monthly (1M tokens/day)$39.60
Ling-2.6-1TBest Value
Input cost$0.07/M tokens
Output cost$0.63/M tokens
Cost per quality point$0.017
Est. monthly (1M tokens/day)$10.50

Ling-2.6-1T offers 73% better value per quality point. At 1M tokens/day, you'd spend $10.50/month with Ling-2.6-1T vs $39.60/month with DeepSeek V4 Pro 0423 - a $29.10 monthly difference.

Latency & Speed
DeepSeek V4 Pro 0423Faster
Speed score0/100
Ling-2.6-1T
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

DeepSeek V4 Pro 0423

Customer support chatbot

Suitable for user-facing chat with competitive response times. Ling-2.6-1T also offers lower per-token costs for high-volume support

DeepSeek V4 Pro 0423

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

DeepSeek V4 Pro 0423

Batch data extraction

Lower output pricing ($0.63/M) reduces costs when processing thousands of records daily

Ling-2.6-1T

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

DeepSeek V4 Pro 0423
Which Should You Choose?
Our recommendation:
DeepSeek V4 Pro 0423

DeepSeek V4 Pro 0423 and Ling-2.6-1T are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by DeepSeek

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by inclusionai

  • Choose for Cost - 73% lower pricing; better value at scale
Capability Comparison
CapabilityDeepSeek V4 Pro 0423Ling-2.6-1T
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

DeepSeek V4 Pro 0423

DeepSeek

$3.56
estimated monthly cost

Ling-2.6-1T

inclusionai

Best Value
$0.8850
estimated monthly cost

Ling-2.6-1T saves you $2.68/month

That's 75% cheaper than DeepSeek V4 Pro 0423 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterDeepSeek V4 Pro 0423Ling-2.6-1T
Context Window1.0M262K
Max Output Tokens384,00032,768
Open SourceYesNo
CreatedApr 24, 2026Apr 23, 2026
Last updated: 28m ago

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DeepSeek V4 Pro 0423 vs Ling-2.6-1T (2026) | LM Market Cap