Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

DeepSeek Coder V2 vs Wan2.6 Text to Image benchmark

Name: DeepSeek Coder V2 vs Wan2.6 Text to Image AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DeepSeek Coder V2 (DeepSeek) and Wan2.6 Text to Image (Alibaba) using the latest snapshots we have as of Aug 17, 2026. Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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DeepSeek

DeepSeek Coder V2

DeepSeek open-weight Mixture-of-Experts coding model supporting 338 programming languages and 128k context.

Elo 1,365$0.28/1M out

Alibaba

Wan2.6 Text to Image

Alibaba high-efficiency open video/image unified transformer backbone.

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek Coder V2 (10)vsWan2.6 Text to Image (0)

DeepSeek Coder V2: 10W (100%)Overall: DeepSeek Coder V2Wan2.6 Text to Image: 0W (0%)

← DeepSeek Coder V2Wan2.6 Text to Image →

DeepSeek Coder V2 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,365vs—

Coding Elo

1,442vs—

SWE-bench

60.5%vs—

LiveBench

58.6%vs—

GPQA Diamond

70.2%vs—

DeepSeek Coder V2: 5WWan2.6 Text to Image: 0W

DeepSeek Coder V2 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs—

Time to first token

290 msvs—

DeepSeek Coder V2: 2WWan2.6 Text to Image: 0W

DeepSeek Coder V2 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs—

Input price

$0.14/1Mvs—

Context window

128kvs—

DeepSeek Coder V2: 3WWan2.6 Text to Image: 0W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageWan2.6 Text to Image 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

No shared data

Full Benchmark Score Matrix

—

Elo

High is better

1,365

EloHigh is better

—

Code Elo

High is better

1,442

Code EloHigh is better

—

LiveBench

High is better

58.6%

LiveBenchHigh is better

—

SWE-bench

High is better

60.5%

SWE-benchHigh is better

—

GPQA

High is better

70.2%

GPQAHigh is better

—

TTFT

Low is better

290 ms

TTFTLow is better

—

Speed

High is better

75 tok/s

SpeedHigh is better

—

In $

Low is better

$0.14/1M

In $Low is better

—

Out $

Low is better

$0.28/1M

Out $Low is better

—

Context

High is better

128k

ContextHigh is better

—

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visionWan2.6 Text to Image

Wan2.6 Text to Image is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	Wan2.6 Text to Image	Wan2.6 Text to Image is the side marked multimodal in the catalog.

Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE

DeepSeek

DeepSeek Coder V2

Elo 1,365

LiveBench58.6%

SWE-bench60.5%

Speed75 tok/s

Output cost$0.28/1M

Alibaba

Wan2.6 Text to Image

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or Wan2.6 Text to Image?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, DeepSeek Coder V2 or Wan2.6 Text to Image?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: List prices are missing for at least one model.
Which is faster, DeepSeek Coder V2 or Wan2.6 Text to Image?: We do not have TTFT for both models.
Which has the larger context window?: Context window is missing for at least one model.
Can I self-host either model?: Both DeepSeek Coder V2 and Wan2.6 Text to Image are marked open-weights. Hosting cost is not in this table.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. DeepSeek Coder V2 and Wan2.6 Text to Image Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All DeepSeek Coder V2 matchups →|All Wan2.6 Text to Image matchups →

DeepSeek Coder V2 vs DeepSeek V3 (next deepseek)DeepSeek V4 Flash vs DeepSeek Coder V2 Qwen QwQ 32B vs DeepSeek Coder V2 DeepSeek V4 Pro vs DeepSeek Coder V2 DeepSeek R1 vs DeepSeek Coder V2 Qwen3.8 27B vs DeepSeek Coder V2

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek Coder V2 (10)vsWan2.6 Text to Image (0)

DeepSeek Coder V2: 10W (100%)Overall: DeepSeek Coder V2Wan2.6 Text to Image: 0W (0%)

← DeepSeek Coder V2Wan2.6 Text to Image →

DeepSeek Coder V2 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,365vs—

Coding Elo

1,442vs—

SWE-bench

60.5%vs—

LiveBench

58.6%vs—

GPQA Diamond

70.2%vs—

DeepSeek Coder V2: 5WWan2.6 Text to Image: 0W

DeepSeek Coder V2 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs—

Time to first token

290 msvs—

DeepSeek Coder V2: 2WWan2.6 Text to Image: 0W

DeepSeek Coder V2 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs—

Input price

$0.14/1Mvs—

Context window

128kvs—

DeepSeek Coder V2: 3WWan2.6 Text to Image: 0W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visionWan2.6 Text to Image

Wan2.6 Text to Image is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	Wan2.6 Text to Image	Wan2.6 Text to Image is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or Wan2.6 Text to Image?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, DeepSeek Coder V2 or Wan2.6 Text to Image?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

List prices are missing for at least one model.

Which is faster, DeepSeek Coder V2 or Wan2.6 Text to Image?

We do not have TTFT for both models.

Which has the larger context window?

Context window is missing for at least one model.

Can I self-host either model?

Both DeepSeek Coder V2 and Wan2.6 Text to Image are marked open-weights. Hosting cost is not in this table.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. DeepSeek Coder V2 and Wan2.6 Text to Image Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.