Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

OpenAI: GPT-4o (2024-11-20) vs Kimi Chat 1.5 benchmark

Name: OpenAI: GPT-4o (2024-11-20) vs Kimi Chat 1.5 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares OpenAI: GPT-4o (2024-11-20) (OpenAI) and Kimi Chat 1.5 (Moonshot) using the latest snapshots we have as of Aug 17, 2026. Kimi Chat 1.5 wins on output price at $0.8/1M. Kimi Chat 1.5 has the larger context window (2M 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

OpenAI: GPT-4o (2024-11-20)

Auto-discovered from OpenRouter (openai/gpt-4o-2024-11-20). Preview until a second source matches.

$10/1M out

Moonshot

Kimi Chat 1.5

Moonshot ultra-long context model supporting up to 2 million tokens per request.

Elo 1,420$0.8/1M 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.

OpenAI: GPT-4o (2024-11-20) (0)vsKimi Chat 1.5 (10)

OpenAI: GPT-4o (2024-11-20): 0W (0%)Overall: Kimi Chat 1.5Kimi Chat 1.5: 10W (100%)

← OpenAI: GPT-4o (2024-11-20)Kimi Chat 1.5 →

Kimi Chat 1.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,420

Coding Elo

—vs1,390

SWE-bench

—vs51%

LiveBench

—vs58%

GPQA Diamond

—vs71.5%

OpenAI: GPT-4o (2024-11-20): 0WKimi Chat 1.5: 5W

Kimi Chat 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs95 tok/s

Time to first token

—vs210 ms

OpenAI: GPT-4o (2024-11-20): 0WKimi Chat 1.5: 2W

Kimi Chat 1.5 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$0.8/1M

Input price

$2.5/1Mvs$0.2/1M

Context window

128kvs2M

OpenAI: GPT-4o (2024-11-20): 0WKimi Chat 1.5: 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 AdvantageKimi Chat 1.5 6/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Kimi Chat 1.5

$9.20/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,420

Code Elo

High is better

—

Code EloHigh is better

1,390

LiveBench

High is better

—

LiveBenchHigh is better

58%

SWE-bench

High is better

—

SWE-benchHigh is better

51%

GPQA

High is better

—

GPQAHigh is better

71.5%

TTFT

Low is better

—

TTFTLow is better

210 ms

Speed

High is better

—

SpeedHigh is better

95 tok/s

In $

Low is better

$2.5/1M

In $Low is better

$0.2/1M+1150%

Out $

Low is better

$10/1M

Out $Low is better

$0.8/1M+1150%

Context

High is better

128k

ContextHigh is better

2M+1463%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 92% with Kimi Chat 1.5

Monthly Volume50M tokens/mo

Quick Presets:

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

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

OpenAI: GPT-4o (2024-11-20)$237.50 / mo

In: $87.50Out: $150.00

Kimi Chat 1.5$19.00 / mo

In: $7.00Out: $12.00

Estimated Cost Delta

Kimi Chat 1.5 is estimated to save $218.50/month ($2,622/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Kimi Chat 1.5:Pick Kimi Chat 1.5 when you are optimizing output cost.
2
Kimi Chat 1.5:Pick Kimi Chat 1.5 for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatKimi Chat 1.5

Lower output list price ($0.8/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGKimi Chat 1.5

Larger window (2M).

Screenshots / visionKimi Chat 1.5

Kimi Chat 1.5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Kimi Chat 1.5	Lower output list price ($0.8/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Kimi Chat 1.5	Larger window (2M).
Screenshots / vision	Kimi Chat 1.5	Kimi Chat 1.5 is the side marked multimodal in the catalog.

Community Sentiment

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CompareLLM Matrix

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LIVE

OpenAI

OpenAI: GPT-4o (2024-11-20)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$10/1M

Moonshot

Kimi Chat 1.5

Elo 1,420

LiveBench58%

SWE-bench51%

Speed95 tok/s

Output cost$0.8/1M

Frequently Asked Questions

Which is better overall, OpenAI: GPT-4o (2024-11-20) or Kimi Chat 1.5?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, OpenAI: GPT-4o (2024-11-20) or Kimi Chat 1.5?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Kimi Chat 1.5 output tokens are $0.8/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, OpenAI: GPT-4o (2024-11-20) or Kimi Chat 1.5?: We do not have TTFT for both models.
Which has the larger context window?: Kimi Chat 1.5 accepts 2M tokens versus 128k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
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. OpenAI: GPT-4o (2024-11-20) and Kimi Chat 1.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All OpenAI: GPT-4o (2024-11-20) matchups →|All Kimi Chat 1.5 matchups →

Kimi Chat 1.5 vs MoonshotAI: Kimi K2 0711 (next kimi)GPT-5 vs Kimi Chat 1.5 Kimi K3 vs Kimi Chat 1.5 GPT-4.5 Orion vs Kimi Chat 1.5 GPT-5.6 Sol vs Kimi Chat 1.5 GPT-5.6 Terra vs Kimi Chat 1.5

OpenAI: GPT-4o (2024-11-20) vs Kimi Chat 1.5 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

OpenAI: GPT-4o (2024-11-20) (0)vsKimi Chat 1.5 (10)

OpenAI: GPT-4o (2024-11-20): 0W (0%)Overall: Kimi Chat 1.5Kimi Chat 1.5: 10W (100%)

← OpenAI: GPT-4o (2024-11-20)Kimi Chat 1.5 →

Kimi Chat 1.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,420

Coding Elo

—vs1,390

SWE-bench

—vs51%

LiveBench

—vs58%

GPQA Diamond

—vs71.5%

OpenAI: GPT-4o (2024-11-20): 0WKimi Chat 1.5: 5W

Kimi Chat 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs95 tok/s

Time to first token

—vs210 ms

OpenAI: GPT-4o (2024-11-20): 0WKimi Chat 1.5: 2W

Kimi Chat 1.5 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$0.8/1M

Input price

$2.5/1Mvs$0.2/1M

Context window

128kvs2M

OpenAI: GPT-4o (2024-11-20): 0WKimi Chat 1.5: 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatKimi Chat 1.5

Lower output list price ($0.8/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGKimi Chat 1.5

Larger window (2M).

Screenshots / visionKimi Chat 1.5

Kimi Chat 1.5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Kimi Chat 1.5	Lower output list price ($0.8/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Kimi Chat 1.5	Larger window (2M).
Screenshots / vision	Kimi Chat 1.5	Kimi Chat 1.5 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, OpenAI: GPT-4o (2024-11-20) or Kimi Chat 1.5?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, OpenAI: GPT-4o (2024-11-20) or Kimi Chat 1.5?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Kimi Chat 1.5 output tokens are $0.8/1M versus $10/1M. Input prices and retry rates still move the real bill.

Which is faster, OpenAI: GPT-4o (2024-11-20) or Kimi Chat 1.5?

We do not have TTFT for both models.

Which has the larger context window?

Kimi Chat 1.5 accepts 2M tokens versus 128k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

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. OpenAI: GPT-4o (2024-11-20) and Kimi Chat 1.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.