Pairwise benchmark snapshot · Aug 1, 2026

GPT-4.5 Orion vs Llama 3.1 405B benchmark

Name: GPT-4.5 Orion vs Llama 3.1 405B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT-4.5 Orion (OpenAI) and Llama 3.1 405B (Meta) using the latest snapshots we have as of Aug 1, 2026. On preference Elo, GPT-4.5 Orion is ahead by 170 points (1,540 vs 1,370; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, GPT-4.5 Orion resolves 71% versus 58.4% (seed-bootstrap (Aug 1, 2026)). GPT-4.5 Orion streams faster (60 tok/s) while Llama 3.1 405B is the cheaper output token ($3.5/1M). GPT-4.5 Orion 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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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.

GPT-4.5 Orion (7)vsLlama 3.1 405B (2)

GPT-4.5 Orion: 7W (78%)Overall: GPT-4.5 OrionLlama 3.1 405B: 2W (22%)

← GPT-4.5 Orion1 tiesLlama 3.1 405B →

GPT-4.5 Orion (5/5)

Intelligence & Reasoning

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

Preference Elo

1,540vs1,370

Coding Elo

1,520vs1,385

SWE-bench

71%vs58.4%

LiveBench

68.5%vs61.2%

GPQA Diamond

84%vs75.2%

GPT-4.5 Orion: 5WLlama 3.1 405B: 0W

GPT-4.5 Orion (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

60 tok/svs42 tok/s

Time to first token

350 msvs360 ms

GPT-4.5 Orion: 2WLlama 3.1 405B: 0W

Llama 3.1 405B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$150/1Mvs$3.5/1M

Input price

$75/1Mvs$1.25/1M

Context window

128kvs128k

GPT-4.5 Orion: 0WLlama 3.1 405B: 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 AdvantageGPT-4.5 Orion 4/6

Preference Elo

GPT-4.5 Orion

170 pts advantage

Throughput Speed

GPT-4.5 Orion

18 tok/s faster

Price Efficiency

Llama 3.1 405B

$146.50/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+12%1,540

EloHigh is better

1,370

Code Elo

High is better

+10%1,520

Code EloHigh is better

1,385

LiveBench

High is better

+12%68.5%

LiveBenchHigh is better

61.2%

SWE-bench

High is better

+22%71%

SWE-benchHigh is better

58.4%

GPQA

High is better

+12%84%

GPQAHigh is better

75.2%

TTFT

Low is better

+3%350 ms

TTFTLow is better

360 ms

Speed

High is better

+43%60 tok/s

SpeedHigh is better

42 tok/s

In $

Low is better

$75/1M

In $Low is better

$1.25/1M+5900%

Out $

Low is better

$150/1M

Out $Low is better

$3.5/1M+4186%

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 98% with Llama 3.1 405B

Monthly Volume50M tokens/mo

Quick Presets:

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

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

GPT-4.5 Orion$4,875.00 / mo

In: $2625.00Out: $2250.00

Llama 3.1 405B$96.25 / mo

In: $43.75Out: $52.50

Estimated Cost Delta

Llama 3.1 405B is estimated to save $4,778.75/month ($57,345/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
Llama 3.1 405B:Pick Llama 3.1 405B when you are optimizing output cost.
3
GPT-4.5 Orion:Pick GPT-4.5 Orion 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 chatLlama 3.1 405B

Lower output list price ($3.5/1M).

Voice / low-latency UIGPT-4.5 Orion

Lower TTFT (350 ms).

Long-document RAGGPT-4.5 Orion

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	Llama 3.1 405B	Lower output list price ($3.5/1M).
Voice / low-latency UI	GPT-4.5 Orion	Lower TTFT (350 ms).
Long-document RAG	GPT-4.5 Orion	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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LIVE

OpenAI

GPT-4.5 Orion

Elo 1,540

LiveBench68.5%

SWE-bench71%

Speed60 tok/s

Output cost$150/1M

Llama 3.1 405B

Elo 1,370

LiveBench61.2%

SWE-bench58.4%

Speed42 tok/s

Output cost$3.5/1M

Frequently Asked Questions

Which is better overall, GPT-4.5 Orion or Llama 3.1 405B?: 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, GPT-4.5 Orion or Llama 3.1 405B?: GPT-4.5 Orion leads SWE-bench at 71% vs 58.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Llama 3.1 405B output tokens are $3.5/1M versus $150/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4.5 Orion or Llama 3.1 405B?: GPT-4.5 Orion has the lower time-to-first-token (350 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: GPT-4.5 Orion accepts 128k tokens versus 128k.
Can I self-host either model?: Llama 3.1 405B 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. GPT-4.5 Orion and Llama 3.1 405B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GPT-4.5 Orion matchups →|All Llama 3.1 405B matchups →

GPT-4.5 Orion vs OpenAI: o1 (previous gpt-flagship)GPT-4.5 Orion vs GPT-5 (next gpt-flagship)Llama 3.1 405B vs Llama 3.1 70B (next llama)GPT-5.6 Terra vs GPT-4.5 Orion GPT-5.6 Sol vs GPT-4.5 Orion Llama 4 Maverick vs GPT-4.5 Orion

GPT-4.5 Orion vs Llama 3.1 405B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4.5 Orion (7)vsLlama 3.1 405B (2)

GPT-4.5 Orion: 7W (78%)Overall: GPT-4.5 OrionLlama 3.1 405B: 2W (22%)

← GPT-4.5 Orion1 tiesLlama 3.1 405B →

GPT-4.5 Orion (5/5)

Intelligence & Reasoning

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

Preference Elo

1,540vs1,370

Coding Elo

1,520vs1,385

SWE-bench

71%vs58.4%

LiveBench

68.5%vs61.2%

GPQA Diamond

84%vs75.2%

GPT-4.5 Orion: 5WLlama 3.1 405B: 0W

GPT-4.5 Orion (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

60 tok/svs42 tok/s

Time to first token

350 msvs360 ms

GPT-4.5 Orion: 2WLlama 3.1 405B: 0W

Llama 3.1 405B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$150/1Mvs$3.5/1M

Input price

$75/1Mvs$1.25/1M

Context window

128kvs128k

GPT-4.5 Orion: 0WLlama 3.1 405B: 2W

Recommended Workload Routing

Repo / coding agentsGPT-4.5 Orion

Higher SWE-bench (71%).

High-volume chatLlama 3.1 405B

Lower output list price ($3.5/1M).

Voice / low-latency UIGPT-4.5 Orion

Lower TTFT (350 ms).

Long-document RAGGPT-4.5 Orion

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	Llama 3.1 405B	Lower output list price ($3.5/1M).
Voice / low-latency UI	GPT-4.5 Orion	Lower TTFT (350 ms).
Long-document RAG	GPT-4.5 Orion	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, GPT-4.5 Orion or Llama 3.1 405B?

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, GPT-4.5 Orion or Llama 3.1 405B?

GPT-4.5 Orion leads SWE-bench at 71% vs 58.4%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Llama 3.1 405B output tokens are $3.5/1M versus $150/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4.5 Orion or Llama 3.1 405B?

GPT-4.5 Orion has the lower time-to-first-token (350 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

GPT-4.5 Orion accepts 128k tokens versus 128k.

Can I self-host either model?

Llama 3.1 405B 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. GPT-4.5 Orion and Llama 3.1 405B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.