Pairwise benchmark snapshot · Aug 16, 2026

DeepSeek V4 Pro vs GPT-5.6 Luna benchmark

Name: DeepSeek V4 Pro vs GPT-5.6 Luna AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DeepSeek V4 Pro (DeepSeek) and GPT-5.6 Luna (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, DeepSeek V4 Pro is ahead by 70 points (1,536 vs 1,466; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, DeepSeek V4 Pro resolves 71.6% versus 61.8% (seed-bootstrap (Aug 1, 2026)). GPT-5.6 Luna streams faster (188 tok/s) while GPT-5.6 Luna is the cheaper output token ($0.6/1M). GPT-5.6 Luna 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.

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DeepSeek

DeepSeek V4 Pro

Open-weight-adjacent DeepSeek flagship. High reasoning density per dollar.

Elo 1,536$0.87/1M out

OpenAI

GPT-5.6 Luna

OpenAI 5.6 fast/cheap tier. Official API $0.20/$1.20 per 1M after the Jul 30 80% Luna cut.

Elo 1,466$0.6/1M out

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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 V4 Pro (5)vsGPT-5.6 Luna (5)

DeepSeek V4 Pro: 5W (50%)Overall: Even matchupGPT-5.6 Luna: 5W (50%)

← DeepSeek V4 ProGPT-5.6 Luna →

DeepSeek V4 Pro (5/5)

Intelligence & Reasoning

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

Preference Elo

1,536vs1,466

Coding Elo

1,544vs1,458

SWE-bench

71.6%vs61.8%

LiveBench

70.1%vs64.2%

GPQA Diamond

84%vs75.4%

DeepSeek V4 Pro: 5WGPT-5.6 Luna: 0W

GPT-5.6 Luna (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

70 tok/svs188 tok/s

Time to first token

410 msvs88 ms

DeepSeek V4 Pro: 0WGPT-5.6 Luna: 2W

GPT-5.6 Luna (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.87/1Mvs$0.6/1M

Input price

$0.44/1Mvs$0.1/1M

Context window

1Mvs1.1M

DeepSeek V4 Pro: 0WGPT-5.6 Luna: 3W

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 AdvantageEven 3–3

Preference Elo

DeepSeek V4 Pro

70 pts advantage

Throughput Speed

GPT-5.6 Luna

118 tok/s faster

Price Efficiency

GPT-5.6 Luna

$0.27/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+5%1,536

EloHigh is better

1,466

Code Elo

High is better

+6%1,544

Code EloHigh is better

1,458

LiveBench

High is better

+9%70.1%

LiveBenchHigh is better

64.2%

SWE-bench

High is better

+16%71.6%

SWE-benchHigh is better

61.8%

GPQA

High is better

+11%84%

GPQAHigh is better

75.4%

TTFT

Low is better

410 ms

TTFTLow is better

88 ms+366%

Speed

High is better

70 tok/s

SpeedHigh is better

188 tok/s+169%

In $

Low is better

$0.44/1M

In $Low is better

$0.1/1M+335%

Out $

Low is better

$0.87/1M

Out $Low is better

$0.6/1M+45%

Context

High is better

ContextHigh is better

1.1M

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 56% with GPT-5.6 Luna

Monthly Volume50M tokens/mo

Quick Presets:

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

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

DeepSeek V4 Pro$28.28 / mo

In: $15.22Out: $13.05

GPT-5.6 Luna$12.50 / mo

In: $3.50Out: $9.00

Estimated Cost Delta

GPT-5.6 Luna is estimated to save $15.77/month ($189/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
DeepSeek V4 Pro:Pick DeepSeek V4 Pro when repo-level coding accuracy is the constraint.
2
GPT-5.6 Luna:Pick GPT-5.6 Luna when you are optimizing output cost.
3
GPT-5.6 Luna:Pick GPT-5.6 Luna when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsDeepSeek V4 Pro

Higher SWE-bench (71.6%).

High-volume chatGPT-5.6 Luna

Lower output list price ($0.6/1M).

Voice / low-latency UIGPT-5.6 Luna

Lower TTFT (88 ms).

Long-document RAGGPT-5.6 Luna

Larger window (1.1M).

Screenshots / visionGPT-5.6 Luna

GPT-5.6 Luna is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	DeepSeek V4 Pro	Higher SWE-bench (71.6%).
High-volume chat	GPT-5.6 Luna	Lower output list price ($0.6/1M).
Voice / low-latency UI	GPT-5.6 Luna	Lower TTFT (88 ms).
Long-document RAG	GPT-5.6 Luna	Larger window (1.1M).
Screenshots / vision	GPT-5.6 Luna	GPT-5.6 Luna is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

priceJul 30, 2026

GPT-5.6 Luna’s 80% cut: $0.20/$1.20 for volume chat

Luna is the OpenAI fast/cheap 5.6 SKU after Jul 30. It is not Sol. Sort by price and TTFT, not Elo.

compareJun 13, 2026

DeepSeek vs Claude: the cheap-versus-frontier question, remapped

Top DeepSeek vs top Anthropic Elo. Usually V4 Pro vs Opus 5. License and invoice decide as much as Elo.

launchJun 12, 2026

DeepSeek V4 Pro: high reasoning density per dollar

2026-06 open-weight-adjacent flagship. The usual cheap-vs-Claude question starts here.

launchAug 8, 2025

GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

High-volume agents that cannot pay Sol. Compare to Luna before you assume the new cheap SKU wins.

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LIVE

DeepSeek

DeepSeek V4 Pro

Elo 1,536

LiveBench70.1%

SWE-bench71.6%

Speed70 tok/s

Output cost$0.87/1M

OpenAI

GPT-5.6 Luna

Elo 1,466

LiveBench64.2%

SWE-bench61.8%

Speed188 tok/s

Output cost$0.6/1M

Frequently Asked Questions

Which is better overall, DeepSeek V4 Pro or GPT-5.6 Luna?: DeepSeek V4 Pro has the higher preference Elo in our latest snapshot (1,536). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, DeepSeek V4 Pro or GPT-5.6 Luna?: DeepSeek V4 Pro leads SWE-bench at 71.6% vs 61.8%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: GPT-5.6 Luna output tokens are $0.6/1M versus $0.87/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek V4 Pro or GPT-5.6 Luna?: GPT-5.6 Luna has the lower time-to-first-token (88 ms vs 410 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: GPT-5.6 Luna accepts 1.1M tokens versus 1M.
Can I self-host either model?: DeepSeek V4 Pro 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 V4 Pro and GPT-5.6 Luna Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All DeepSeek V4 Pro matchups →|All GPT-5.6 Luna matchups →

DeepSeek V4 Pro vs DeepSeek R1 (previous deepseek)DeepSeek V4 Pro vs DeepSeek V4 Flash (next deepseek)GPT-5.6 Luna vs GPT-5 mini (previous gpt-mini)GPT-4.5 Orion vs DeepSeek V4 Pro GPT-5.6 Terra vs DeepSeek V4 Pro GPT-5 vs DeepSeek V4 Pro

DeepSeek V4 Pro vs GPT-5.6 Luna benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek V4 Pro (5)vsGPT-5.6 Luna (5)

DeepSeek V4 Pro: 5W (50%)Overall: Even matchupGPT-5.6 Luna: 5W (50%)

← DeepSeek V4 ProGPT-5.6 Luna →

DeepSeek V4 Pro (5/5)

Intelligence & Reasoning

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

Preference Elo

1,536vs1,466

Coding Elo

1,544vs1,458

SWE-bench

71.6%vs61.8%

LiveBench

70.1%vs64.2%

GPQA Diamond

84%vs75.4%

DeepSeek V4 Pro: 5WGPT-5.6 Luna: 0W

GPT-5.6 Luna (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

70 tok/svs188 tok/s

Time to first token

410 msvs88 ms

DeepSeek V4 Pro: 0WGPT-5.6 Luna: 2W

GPT-5.6 Luna (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.87/1Mvs$0.6/1M

Input price

$0.44/1Mvs$0.1/1M

Context window

1Mvs1.1M

DeepSeek V4 Pro: 0WGPT-5.6 Luna: 3W

Recommended Workload Routing

Repo / coding agentsDeepSeek V4 Pro

Higher SWE-bench (71.6%).

High-volume chatGPT-5.6 Luna

Lower output list price ($0.6/1M).

Voice / low-latency UIGPT-5.6 Luna

Lower TTFT (88 ms).

Long-document RAGGPT-5.6 Luna

Larger window (1.1M).

Screenshots / visionGPT-5.6 Luna

GPT-5.6 Luna is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	DeepSeek V4 Pro	Higher SWE-bench (71.6%).
High-volume chat	GPT-5.6 Luna	Lower output list price ($0.6/1M).
Voice / low-latency UI	GPT-5.6 Luna	Lower TTFT (88 ms).
Long-document RAG	GPT-5.6 Luna	Larger window (1.1M).
Screenshots / vision	GPT-5.6 Luna	GPT-5.6 Luna is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek V4 Pro or GPT-5.6 Luna?

DeepSeek V4 Pro has the higher preference Elo in our latest snapshot (1,536). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, DeepSeek V4 Pro or GPT-5.6 Luna?

DeepSeek V4 Pro leads SWE-bench at 71.6% vs 61.8%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

GPT-5.6 Luna output tokens are $0.6/1M versus $0.87/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek V4 Pro or GPT-5.6 Luna?

GPT-5.6 Luna has the lower time-to-first-token (88 ms vs 410 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

GPT-5.6 Luna accepts 1.1M tokens versus 1M.

Can I self-host either model?

DeepSeek V4 Pro 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 V4 Pro and GPT-5.6 Luna Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

DeepSeek V4 Pro

GPT-5.6 Luna

GPT-5.6 Luna

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GPT-5.6 Luna’s 80% cut: $0.20/$1.20 for volume chat

DeepSeek vs Claude: the cheap-versus-frontier question, remapped

DeepSeek V4 Pro: high reasoning density per dollar

GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

DeepSeek V4 Pro

GPT-5.6 Luna

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

DeepSeek V4 Pro

GPT-5.6 Luna

GPT-5.6 Luna

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GPT-5.6 Luna’s 80% cut: $0.20/$1.20 for volume chat

DeepSeek vs Claude: the cheap-versus-frontier question, remapped

DeepSeek V4 Pro: high reasoning density per dollar

GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

DeepSeek V4 Pro

GPT-5.6 Luna

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons