Pairwise benchmark snapshot · Aug 1, 2026

DeepSeek Coder V2 vs GPT-4.5 Orion benchmark

Name: DeepSeek Coder V2 vs GPT-4.5 Orion AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DeepSeek Coder V2 (DeepSeek) and GPT-4.5 Orion (OpenAI) using the latest snapshots we have as of Aug 1, 2026. On preference Elo, GPT-4.5 Orion is ahead by 175 points (1,540 vs 1,365; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, GPT-4.5 Orion resolves 71% versus 60.5% (seed-bootstrap (Aug 1, 2026)). DeepSeek Coder V2 streams faster (75 tok/s) while DeepSeek Coder V2 is the cheaper output token ($0.28/1M). DeepSeek Coder V2 has the larger context window (128k 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-4.5 Orion

OpenAI largest dense non-reasoning model with expansive world knowledge and reduced hallucinations.

Elo 1,540$150/1M 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 Coder V2 (4)vsGPT-4.5 Orion (5)

DeepSeek Coder V2: 4W (44%)Overall: GPT-4.5 OrionGPT-4.5 Orion: 5W (56%)

← DeepSeek Coder V21 tiesGPT-4.5 Orion →

GPT-4.5 Orion (5/5)

Intelligence & Reasoning

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

Preference Elo

1,365vs1,540

Coding Elo

1,442vs1,520

SWE-bench

60.5%vs71%

LiveBench

58.6%vs68.5%

GPQA Diamond

70.2%vs84%

DeepSeek Coder V2: 0WGPT-4.5 Orion: 5W

DeepSeek Coder V2 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs60 tok/s

Time to first token

290 msvs350 ms

DeepSeek Coder V2: 2WGPT-4.5 Orion: 0W

DeepSeek Coder V2 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$150/1M

Input price

$0.14/1Mvs$75/1M

Context window

128kvs128k

DeepSeek Coder V2: 2WGPT-4.5 Orion: 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 AdvantageGPT-4.5 Orion 3/6

Preference Elo

GPT-4.5 Orion

175 pts advantage

Throughput Speed

DeepSeek Coder V2

15 tok/s faster

Price Efficiency

DeepSeek Coder V2

$149.72/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,365

EloHigh is better

1,540+13%

Code Elo

High is better

1,442

Code EloHigh is better

1,520+5%

LiveBench

High is better

58.6%

LiveBenchHigh is better

68.5%+17%

SWE-bench

High is better

60.5%

SWE-benchHigh is better

71%+17%

GPQA

High is better

70.2%

GPQAHigh is better

84%+20%

TTFT

Low is better

+21%290 ms

TTFTLow is better

350 ms

Speed

High is better

+25%75 tok/s

SpeedHigh is better

60 tok/s

In $

Low is better

+53471%$0.14/1M

In $Low is better

$75/1M

Out $

Low is better

+53471%$0.28/1M

Out $Low is better

$150/1M

Context

High is better

128k

ContextHigh is better

128k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 100% 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-4.5 Orion$4,875.00 / mo

In: $2625.00Out: $2250.00

Estimated Cost Delta

DeepSeek Coder V2 is estimated to save $4,865.90/month ($58,391/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
GPT-4.5 Orion:Pick GPT-4.5 Orion when repo-level coding accuracy is the constraint.
2
DeepSeek Coder V2:Pick DeepSeek Coder V2 when you are optimizing output cost.
3
DeepSeek Coder V2:Pick DeepSeek Coder V2 when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGPT-4.5 Orion

Higher SWE-bench (71%).

High-volume chatDeepSeek Coder V2

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

Voice / low-latency UIDeepSeek Coder V2

Lower TTFT (290 ms).

Long-document RAGDeepSeek Coder V2

Larger window (128k).

Screenshots / visionGPT-4.5 Orion

GPT-4.5 Orion is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-4.5 Orion	Higher SWE-bench (71%).
High-volume chat	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	DeepSeek Coder V2	Lower TTFT (290 ms).
Long-document RAG	DeepSeek Coder V2	Larger window (128k).
Screenshots / vision	GPT-4.5 Orion	GPT-4.5 Orion is the side marked multimodal in the catalog.

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CompareLLM Matrix

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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-4.5 Orion

Elo 1,540

LiveBench68.5%

SWE-bench71%

Speed60 tok/s

Output cost$150/1M

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or GPT-4.5 Orion?: GPT-4.5 Orion has the higher preference Elo in our latest snapshot (1,540). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, DeepSeek Coder V2 or GPT-4.5 Orion?: GPT-4.5 Orion leads SWE-bench at 71% 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 $150/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek Coder V2 or GPT-4.5 Orion?: DeepSeek Coder V2 has the lower time-to-first-token (290 ms vs 350 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: DeepSeek Coder V2 accepts 128k 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-4.5 Orion 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-4.5 Orion matchups →

DeepSeek Coder V2 vs DeepSeek V3 (next deepseek)GPT-4.5 Orion vs OpenAI: o1 (previous gpt-flagship)GPT-4.5 Orion vs GPT-5 (next gpt-flagship)DeepSeek V4 Flash vs GPT-4.5 Orion DeepSeek V4 Pro vs GPT-4.5 Orion GPT-5.6 Sol vs GPT-4.5 Orion

DeepSeek Coder V2 vs GPT-4.5 Orion benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek Coder V2 (4)vsGPT-4.5 Orion (5)

DeepSeek Coder V2: 4W (44%)Overall: GPT-4.5 OrionGPT-4.5 Orion: 5W (56%)

← DeepSeek Coder V21 tiesGPT-4.5 Orion →

GPT-4.5 Orion (5/5)

Intelligence & Reasoning

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

Preference Elo

1,365vs1,540

Coding Elo

1,442vs1,520

SWE-bench

60.5%vs71%

LiveBench

58.6%vs68.5%

GPQA Diamond

70.2%vs84%

DeepSeek Coder V2: 0WGPT-4.5 Orion: 5W

DeepSeek Coder V2 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs60 tok/s

Time to first token

290 msvs350 ms

DeepSeek Coder V2: 2WGPT-4.5 Orion: 0W

DeepSeek Coder V2 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$150/1M

Input price

$0.14/1Mvs$75/1M

Context window

128kvs128k

DeepSeek Coder V2: 2WGPT-4.5 Orion: 0W

Recommended Workload Routing

Repo / coding agentsGPT-4.5 Orion

Higher SWE-bench (71%).

High-volume chatDeepSeek Coder V2

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

Voice / low-latency UIDeepSeek Coder V2

Lower TTFT (290 ms).

Long-document RAGDeepSeek Coder V2

Larger window (128k).

Screenshots / visionGPT-4.5 Orion

GPT-4.5 Orion is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-4.5 Orion	Higher SWE-bench (71%).
High-volume chat	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	DeepSeek Coder V2	Lower TTFT (290 ms).
Long-document RAG	DeepSeek Coder V2	Larger window (128k).
Screenshots / vision	GPT-4.5 Orion	GPT-4.5 Orion is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or GPT-4.5 Orion?

GPT-4.5 Orion has the higher preference Elo in our latest snapshot (1,540). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, DeepSeek Coder V2 or GPT-4.5 Orion?

GPT-4.5 Orion leads SWE-bench at 71% 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 $150/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek Coder V2 or GPT-4.5 Orion?

DeepSeek Coder V2 has the lower time-to-first-token (290 ms vs 350 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

DeepSeek Coder V2 accepts 128k 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-4.5 Orion Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.