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

DeepSeek Coder V2 vs OpenAI: GPT-5.6 Luna Pro benchmark

Name: DeepSeek Coder V2 vs OpenAI: GPT-5.6 Luna Pro AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DeepSeek Coder V2 (DeepSeek) and OpenAI: GPT-5.6 Luna Pro (OpenAI) using the latest snapshots we have as of Aug 17, 2026. DeepSeek Coder V2 wins on output price at $0.28/1M. OpenAI: GPT-5.6 Luna Pro has the larger context window (1.1M tokens). 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.

Share Analysis:

WhatsApp Telegram X / Post LinkedIn Reddit

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

OpenAI

OpenAI: GPT-5.6 Luna Pro

Auto-discovered from OpenRouter (openai/gpt-5.6-luna-pro). Preview until a second source matches.

$0.6/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

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 (8)vsOpenAI: GPT-5.6 Luna Pro (2)

DeepSeek Coder V2: 8W (80%)Overall: DeepSeek Coder V2OpenAI: GPT-5.6 Luna Pro: 2W (20%)

← DeepSeek Coder V2OpenAI: GPT-5.6 Luna Pro →

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: 5WOpenAI: GPT-5.6 Luna Pro: 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: 2WOpenAI: GPT-5.6 Luna Pro: 0W

OpenAI: GPT-5.6 Luna Pro (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$0.6/1M

Input price

$0.14/1Mvs$0.1/1M

Context window

128kvs1.1M

DeepSeek Coder V2: 1WOpenAI: GPT-5.6 Luna Pro: 2W

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 AdvantageDeepSeek Coder V2 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

DeepSeek Coder V2

$0.32/1M cheaper

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

$0.10 / 1M+40%

Out $

Low is better

+114%$0.28 / 1M

Out $Low is better

$0.60 / 1M

Context

High is better

128k

ContextHigh is better

1.1M+720%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 27% with DeepSeek Coder V2

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

DeepSeek Coder V2$9.10 / mo

In: $4.9Out: $4.2

OpenAI: GPT-5.6 Luna Pro$12.50 / mo

In: $3.5Out: $9

Estimated Cost Delta

DeepSeek Coder V2 is estimated to save $3.40/month ($41/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
DeepSeek Coder V2:Pick DeepSeek Coder V2 when you are optimizing output cost.
2
OpenAI: GPT-5.6 Luna Pro:Pick OpenAI: GPT-5.6 Luna Pro for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDeepSeek Coder V2

Lower output list price ($0.28/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: GPT-5.6 Luna Pro

Larger window (1.1M).

Screenshots / visionOpenAI: GPT-5.6 Luna Pro

OpenAI: GPT-5.6 Luna Pro 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	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	OpenAI: GPT-5.6 Luna Pro	Larger window (1.1M).
Screenshots / vision	OpenAI: GPT-5.6 Luna Pro	OpenAI: GPT-5.6 Luna Pro is the side marked multimodal in the catalog.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

The real PNG is generated at /compare/deepseek-coder-v2-vs-gpt-5-6-luna-pro/opengraph-image for crawlers.

PNG

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

OpenAI

OpenAI: GPT-5.6 Luna Pro

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.6/1M

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or OpenAI: GPT-5.6 Luna Pro?: 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 OpenAI: GPT-5.6 Luna Pro?: 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?: DeepSeek Coder V2 output tokens are $0.28/1M versus $0.6/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek Coder V2 or OpenAI: GPT-5.6 Luna Pro?: We do not have TTFT for both models.
Which has the larger context window?: OpenAI: GPT-5.6 Luna Pro accepts 1.1M tokens versus 128k.
Can I self-host either model?: DeepSeek Coder V2 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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 OpenAI: GPT-5.6 Luna Pro 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 OpenAI: GPT-5.6 Luna Pro matchups →

DeepSeek Coder V2 vs DeepSeek V3 (next deepseek)DeepSeek V4 Flash vs DeepSeek Coder V2 GPT-5 vs DeepSeek Coder V2 DeepSeek V4 Pro vs DeepSeek Coder V2 GPT-4.5 Orion vs DeepSeek Coder V2 GPT-5.6 Sol vs DeepSeek Coder V2

DeepSeek Coder V2 vs OpenAI: GPT-5.6 Luna Pro benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek Coder V2 (8)vsOpenAI: GPT-5.6 Luna Pro (2)

DeepSeek Coder V2: 8W (80%)Overall: DeepSeek Coder V2OpenAI: GPT-5.6 Luna Pro: 2W (20%)

← DeepSeek Coder V2OpenAI: GPT-5.6 Luna Pro →

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: 5WOpenAI: GPT-5.6 Luna Pro: 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: 2WOpenAI: GPT-5.6 Luna Pro: 0W

OpenAI: GPT-5.6 Luna Pro (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$0.6/1M

Input price

$0.14/1Mvs$0.1/1M

Context window

128kvs1.1M

DeepSeek Coder V2: 1WOpenAI: GPT-5.6 Luna Pro: 2W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDeepSeek Coder V2

Lower output list price ($0.28/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: GPT-5.6 Luna Pro

Larger window (1.1M).

Screenshots / visionOpenAI: GPT-5.6 Luna Pro

OpenAI: GPT-5.6 Luna Pro 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	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	OpenAI: GPT-5.6 Luna Pro	Larger window (1.1M).
Screenshots / vision	OpenAI: GPT-5.6 Luna Pro	OpenAI: GPT-5.6 Luna Pro is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or OpenAI: GPT-5.6 Luna Pro?

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 OpenAI: GPT-5.6 Luna Pro?

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?

DeepSeek Coder V2 output tokens are $0.28/1M versus $0.6/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek Coder V2 or OpenAI: GPT-5.6 Luna Pro?

We do not have TTFT for both models.

Which has the larger context window?

OpenAI: GPT-5.6 Luna Pro accepts 1.1M tokens versus 128k.

Can I self-host either model?

DeepSeek Coder V2 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

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 OpenAI: GPT-5.6 Luna Pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.