Pairwise benchmark snapshot · Aug 16, 2026

DeepSeek Coder V2 vs GPT-5.6 Terra benchmark

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

This page compares DeepSeek Coder V2 (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 183 points (1,548 vs 1,365; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, GPT-5.6 Terra resolves 70.4% versus 60.5% (seed-bootstrap (Aug 16, 2026)). GPT-5.6 Terra streams faster (128 tok/s) while DeepSeek Coder V2 is the cheaper output token ($0.28/1M). 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.

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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

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

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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 (2)vsGPT-5.6 Terra (8)

DeepSeek Coder V2: 2W (20%)Overall: GPT-5.6 TerraGPT-5.6 Terra: 8W (80%)

← DeepSeek Coder V2GPT-5.6 Terra →

GPT-5.6 Terra (5/5)

Intelligence & Reasoning

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

Preference Elo

1,365vs1,548

Coding Elo

1,442vs1,542

SWE-bench

60.5%vs70.4%

LiveBench

58.6%vs69.1%

GPQA Diamond

70.2%vs82%

DeepSeek Coder V2: 0WGPT-5.6 Terra: 5W

GPT-5.6 Terra (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs128 tok/s

Time to first token

290 msvs160 ms

DeepSeek Coder V2: 0WGPT-5.6 Terra: 2W

DeepSeek Coder V2 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$6/1M

Input price

$0.14/1Mvs$1/1M

Context window

128kvs1.1M

DeepSeek Coder V2: 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 AdvantageGPT-5.6 Terra 5/6

Preference Elo

GPT-5.6 Terra

183 pts advantage

Throughput Speed

GPT-5.6 Terra

53 tok/s faster

Price Efficiency

DeepSeek Coder V2

$5.72/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,365

EloHigh is better

1,548+13%

Code Elo

High is better

1,442

Code EloHigh is better

1,542+7%

LiveBench

High is better

58.6%

LiveBenchHigh is better

69.1%+18%

SWE-bench

High is better

60.5%

SWE-benchHigh is better

70.4%+16%

GPQA

High is better

70.2%

GPQAHigh is better

82%+17%

TTFT

Low is better

290 ms

TTFTLow is better

160 ms+81%

Speed

High is better

75 tok/s

SpeedHigh is better

128 tok/s+71%

In $

Low is better

+614%$0.14/1M

In $Low is better

$1/1M

Out $

Low is better

+2043%$0.28/1M

Out $Low is better

$6/1M

Context

High is better

128k

ContextHigh is better

1.1M+720%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 93% 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: $4.90Out: $4.20

GPT-5.6 Terra$125.00 / mo

In: $35.00Out: $90.00

Estimated Cost Delta

DeepSeek Coder V2 is estimated to save $115.90/month ($1,391/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
GPT-5.6 Terra:Pick GPT-5.6 Terra when repo-level coding accuracy is the constraint.
2
DeepSeek Coder V2:Pick DeepSeek Coder V2 when you are optimizing output cost.
3
GPT-5.6 Terra:Pick GPT-5.6 Terra when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGPT-5.6 Terra

Higher SWE-bench (70.4%).

High-volume chatDeepSeek Coder V2

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

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 Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-5.6 Terra	Higher SWE-bench (70.4%).
High-volume chat	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	GPT-5.6 Terra	Lower TTFT (160 ms).
Long-document RAG	GPT-5.6 Terra	Larger window (1.1M).
Screenshots / vision	GPT-5.6 Terra	GPT-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.

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LIVE

DeepSeek

DeepSeek Coder V2

Elo 1,365

LiveBench58.6%

SWE-bench60.5%

Speed75 tok/s

Output cost$0.28/1M

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 Coder V2 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 Coder V2 or GPT-5.6 Terra?: GPT-5.6 Terra leads SWE-bench at 70.4% vs 60.5%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: DeepSeek Coder V2 output tokens are $0.28/1M versus $6/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek Coder V2 or GPT-5.6 Terra?: GPT-5.6 Terra has the lower time-to-first-token (160 ms vs 290 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 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 GPT-5.6 Terra 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 GPT-5.6 Terra matchups →

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

DeepSeek Coder V2 vs GPT-5.6 Terra benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek Coder V2 (2)vsGPT-5.6 Terra (8)

DeepSeek Coder V2: 2W (20%)Overall: GPT-5.6 TerraGPT-5.6 Terra: 8W (80%)

← DeepSeek Coder V2GPT-5.6 Terra →

GPT-5.6 Terra (5/5)

Intelligence & Reasoning

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

Preference Elo

1,365vs1,548

Coding Elo

1,442vs1,542

SWE-bench

60.5%vs70.4%

LiveBench

58.6%vs69.1%

GPQA Diamond

70.2%vs82%

DeepSeek Coder V2: 0WGPT-5.6 Terra: 5W

GPT-5.6 Terra (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs128 tok/s

Time to first token

290 msvs160 ms

DeepSeek Coder V2: 0WGPT-5.6 Terra: 2W

DeepSeek Coder V2 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$6/1M

Input price

$0.14/1Mvs$1/1M

Context window

128kvs1.1M

DeepSeek Coder V2: 2WGPT-5.6 Terra: 1W

Recommended Workload Routing

Repo / coding agentsGPT-5.6 Terra

Higher SWE-bench (70.4%).

High-volume chatDeepSeek Coder V2

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

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 Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-5.6 Terra	Higher SWE-bench (70.4%).
High-volume chat	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	GPT-5.6 Terra	Lower TTFT (160 ms).
Long-document RAG	GPT-5.6 Terra	Larger window (1.1M).
Screenshots / vision	GPT-5.6 Terra	GPT-5.6 Terra is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 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 Coder V2 or GPT-5.6 Terra?

GPT-5.6 Terra leads SWE-bench at 70.4% vs 60.5%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

DeepSeek Coder V2 output tokens are $0.28/1M versus $6/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek Coder V2 or GPT-5.6 Terra?

GPT-5.6 Terra has the lower time-to-first-token (160 ms vs 290 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 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 GPT-5.6 Terra 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

GPT-5.6 Terra

GPT-5.6 Terra

DeepSeek Coder V2

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

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

Cast Your Matchup Vote

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CompareLLM Matrix

DeepSeek Coder V2

GPT-5.6 Terra

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

GPT-5.6 Terra

GPT-5.6 Terra

DeepSeek Coder V2

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

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

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

DeepSeek Coder V2

GPT-5.6 Terra

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons