CompareLLM
CompareLLM.ai
Live
LeaderboardModelsCompareStacksBest ofGuidesNewsMethod
…
CompareLLM
CompareLLM.ai
Precision Benchmarks

Programmatic, dated AI model benchmarks, head-to-head comparisons, and Stack Engine presets.

Daily ingest · 06:00 UTC

Analytics & Benchmarks

  • AI Model Leaderboard
  • Head-to-Head Compare Hub
  • Models Directory
  • Stack Engine Presets
  • Frontier Models
  • Open Weights Catalog

Guides & Intent Lists

  • Best LLM Lists (2026)
  • Best Coding LLM
  • Best Cheap LLM
  • Fastest Low-Latency LLM
  • Claude vs GPT Benchmark
  • What is Elo?
  • Methodology Guides
  • News & Dispatches

Transparency & API

  • Evaluation Methodology
  • Benchmark Changelog
  • Public JSON API
  • llms.txt Specification
  • Privacy Policy
  • Sign In / Account

© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

  1. Home
  2. Comparisons
  3. DeepSeek V4 Pro vs GPT-5.6 Terra

Pairwise benchmark snapshot · Aug 16, 2026

DeepSeek V4 Pro vs GPT-5.6 Terra benchmark

This page compares DeepSeek V4 Pro (DeepSeek) and GPT-5.6 Terra (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, GPT-5.6 Terra is ahead by 12 points (1,548 vs 1,536; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, DeepSeek V4 Pro resolves 71.6% versus 70.4% (seed-bootstrap (Aug 1, 2026)). GPT-5.6 Terra streams faster (128 tok/s) while DeepSeek V4 Pro is the cheaper output token ($0.87/1M). GPT-5.6 Terra 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.

Quick answer

DeepSeek V4 Pro vs GPT-5.6 Terra is a dated snapshot, not a lab score. GPT-5.6 Terra leads preference Elo (1,548 vs 1,536). DeepSeek V4 Pro leads SWE-bench coding. DeepSeek V4 Pro is the cheaper output token. Elo is crowd preference, not an exam. Pick the column that matches the job.
Share Analysis:
WhatsAppTelegramX / PostLinkedInReddit

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 Terra

OpenAI 5.6 mid tier. Official API $2/$12 per 1M after the Jul 30 2026 price cut.

Elo 1,548$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 4.5vs Claude Opus 4.6vs Claude Sonnet 4.5vs 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 (6)vsGPT-5.6 Terra (4)
DeepSeek V4 Pro: 6W (60%)Overall: DeepSeek V4 ProGPT-5.6 Terra: 4W (40%)
← DeepSeek V4 ProGPT-5.6 Terra →
DeepSeek V4 Pro (4/5)

Intelligence & Reasoning

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

Preference Elo
1,536vs1,548
Coding Elo
1,544vs1,542
SWE-bench
71.6%vs70.4%
LiveBench
70.1%vs69.1%
GPQA Diamond
84%vs82%
DeepSeek V4 Pro: 4WGPT-5.6 Terra: 1W
GPT-5.6 Terra (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
70 tok/svs128 tok/s
Time to first token
410 msvs160 ms
DeepSeek V4 Pro: 0WGPT-5.6 Terra: 2W
DeepSeek V4 Pro (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$0.87/1Mvs$6/1M
Input price
$0.44/1Mvs$1/1M
Context window
1Mvs1.1M
DeepSeek V4 Pro: 2WGPT-5.6 Terra: 1W
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 V4 Pro 4/6
Preference Elo

GPT-5.6 Terra

12 pts advantage

Throughput Speed

GPT-5.6 Terra

58 tok/s faster

Price Efficiency

DeepSeek V4 Pro

$5.13/1M cheaper

Full Benchmark Score Matrix

—
Elo
High is better
1,536
EloHigh is better
1,548+1%
Code Elo
High is better
1,544
Code EloHigh is better
1,542
LiveBench
High is better
+1%70.1%
LiveBenchHigh is better
69.1%
SWE-bench
High is better
+2%71.6%
SWE-benchHigh is better
70.4%
GPQA
High is better
+2%84%
GPQAHigh is better
82%
TTFT
Low is better
410 ms
TTFTLow is better
160 ms+156%
Speed
High is better
70 tok/s
SpeedHigh is better
128 tok/s+83%
In $
Low is better
+130%$0.44/1M
In $Low is better
$1/1M
Out $
Low is better
+590%$0.87/1M
Out $Low is better
$6/1M
Context
High is better
1M
ContextHigh is better
1.1M
Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 77% with DeepSeek V4 Pro
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 Terra$125.00 / mo
In: $35.00Out: $90.00
Estimated Cost Delta

DeepSeek V4 Pro is estimated to save $96.73/month ($1,161/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 Terra:Pick GPT-5.6 Terra when time-to-first-token matters more than peak Elo.
  • 3
    GPT-5.6 Terra:Pick GPT-5.6 Terra for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsDeepSeek V4 Pro

Higher SWE-bench (71.6%).

High-volume chatDeepSeek V4 Pro

Lower output list price ($0.87/1M).

Voice / low-latency UIGPT-5.6 Terra

Lower TTFT (160 ms).

Long-document RAGGPT-5.6 Terra

Larger window (1.1M).

Screenshots / visionGPT-5.6 Terra

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

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsDeepSeek V4 ProHigher SWE-bench (71.6%).
High-volume chatDeepSeek V4 ProLower output list price ($0.87/1M).
Voice / low-latency UIGPT-5.6 TerraLower TTFT (160 ms).
Long-document RAGGPT-5.6 TerraLarger window (1.1M).
Screenshots / visionGPT-5.6 TerraGPT-5.6 Terra is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
priceJul 30, 2026

GPT-5.6 Terra after the Jul 30 cut: $2/$12 mid-tier

Terra is OpenAI’s Sonnet-class invoice. Use it when Sol is too expensive and Luna is too small.

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.

launchJan 20, 2025

DeepSeek R1 stays as the open-weights RL baseline

Jan 2025 reasoning model. Still searched. V4 Pro is the newer DeepSeek buy.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

Sign in to cast your verified vote, bookmark models, and participate in benchmark discussions.Sign In to Post

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-v4-pro-vs-gpt-5-6-terra/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE
VS
DeepSeek

DeepSeek V4 Pro

Elo 1,536
LiveBench70.1%
SWE-bench71.6%
Speed70 tok/s
Output cost$0.87/1M
OpenAI

GPT-5.6 Terra

Elo 1,548
LiveBench69.1%
SWE-bench70.4%
Speed128 tok/s
Output cost$6/1M

Frequently Asked Questions

Which is better overall, DeepSeek V4 Pro or GPT-5.6 Terra?
GPT-5.6 Terra has the higher preference Elo in our latest snapshot (1,548). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, DeepSeek V4 Pro or GPT-5.6 Terra?
DeepSeek V4 Pro leads SWE-bench at 71.6% vs 70.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
DeepSeek V4 Pro output tokens are $0.87/1M versus $6/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek V4 Pro or GPT-5.6 Terra?
GPT-5.6 Terra has the lower time-to-first-token (160 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 Terra 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 Terra Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • price · Jul 30, 2026

    GPT-5.6 Terra after the Jul 30 cut: $2/$12 mid-tier

  • compare · Jun 13, 2026

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

  • launch · Jun 12, 2026

    DeepSeek V4 Pro: high reasoning density per dollar

  • launch · Jan 20, 2025

    DeepSeek R1 stays as the open-weights RL baseline

Similar Head-to-Head Comparisons

All DeepSeek V4 Pro matchups →|All GPT-5.6 Terra matchups →
DeepSeek V4 Pro vs DeepSeek R1 (previous deepseek)DeepSeek V4 Pro vs DeepSeek V4 Flash (next deepseek)GPT-4.5 Orion vs DeepSeek V4 ProGPT-5 vs GPT-5.6 TerraGPT-5.6 Sol vs GPT-5.6 TerraOpenAI: o3 Mini vs GPT-5.6 Terra