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Every score has a dated snapshot.

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  3. GPT-4 Turbo vs Kimi Chat 1.5

Pairwise benchmark snapshot · Aug 1, 2026

GPT-4 Turbo vs Kimi Chat 1.5 benchmark

In this head-to-head showdown, Kimi Chat 1.5 delivers higher overall intelligence and human-preferred responses (Elo 1,420 vs 1,255), while Kimi Chat 1.5 leads in SWE-bench software engineering benchmarks (51%), while Kimi Chat 1.5 is more budget-friendly at $0.8/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Kimi Chat 1.5 holds the advantage over GPT-4 Turbo in overall benchmark performance and human evaluation rankings. Choose Kimi Chat 1.5 for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
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Verified Head-to-Head Advantage Breakdown

9 direct benchmark disciplines evaluated across capability, speed, and cost

GPT-4 Turbo (0)Kimi Chat 1.5 (9)
GPT-4 Turbo
0 of 9 Wins
Competitive baseline across remaining benchmarks
Kimi Chat 1.5
9 of 9 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed✓Input price✓Output price✓Context window
OpenAI
GPT-4 Turbo

GPT-4 Turbo 128k. Historical flagship for gpt-4 turbo vs gpt-4o / gpt-5.

Elo 1,255$30/1M out
Moonshot
Leads 9 of 9 metrics
Kimi Chat 1.5

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

2M ContextElo 1,420$0.8/1M out
Top Rival Showdowns for GPT-4 Turbo
All Matchups
Compare vs:vs Claude Opus 4.5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference LeaderKimi Chat 1.5 Wins

Kimi Chat 1.5

Δ 165 Arena Elo pts

Throughput LeaderKimi Chat 1.5 Wins

Kimi Chat 1.5

95 tok/s

Value per Dollar LeaderKimi Chat 1.5 Wins

Kimi Chat 1.5

$0.8 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
Percentile 0–100
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

GPT-4 Turbo (0)vsKimi Chat 1.5 (10)
GPT-4 Turbo: 0W (0%)Overall: Kimi Chat 1.5Kimi Chat 1.5: 10W (100%)
← GPT-4 TurboKimi Chat 1.5 →
🏆Kimi Chat 1.5(5/5)

Intelligence & Reasoning

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

Benchmark
GPT-4 TurbovsKimi Chat 1.5
Preference Elo
1,255vs1,420+165
Coding Elo
—vs1,390
SWE-bench
33.2%vs51%+17.8%
LiveBench
47%vs58%+11%
GPQA Diamond
48%vs71.5%+23.5%
GPT-4 Turbo: 0WKimi Chat 1.5: 5W
🏆Kimi Chat 1.5(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
GPT-4 TurbovsKimi Chat 1.5
Output speed
55 tok/svs95 tok/s+40 tok/s
Time to first token
350 msvs210 ms+140 ms
GPT-4 Turbo: 0WKimi Chat 1.5: 2W
🏆Kimi Chat 1.5(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
GPT-4 TurbovsKimi Chat 1.5
Output price
$30/1Mvs$0.8/1M+$29.2/1M
Input price
$10/1Mvs$0.2/1M+$9.8/1M
Context window
128kvs2M+1.9M
GPT-4 Turbo: 0WKimi Chat 1.5: 3W

Side-by-Side Benchmark Matrix

Preference Elo+165
GPT-4 Turbo1,255
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.51,420
seed-bootstrap · Aug 1, 2026
Coding Elo
GPT-4 Turbo—
Kimi Chat 1.51,390
seed-bootstrap · Aug 1, 2026
LiveBench+11%
GPT-4 Turbo47%
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.558%
seed-bootstrap · Aug 1, 2026
SWE-bench+17.8%
GPT-4 Turbo33.2%
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.551%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+23.5%
GPT-4 Turbo48%
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.571.5%
seed-bootstrap · Aug 1, 2026
Time to first token+140 ms
GPT-4 Turbo350 ms
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.5210 ms
seed-bootstrap · Aug 1, 2026
Output speed+40 tok/s
GPT-4 Turbo55 tok/s
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.595 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$9.8/1M
GPT-4 Turbo$10/1M
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.5$0.2/1M
seed-bootstrap · Aug 1, 2026
Output price+$29.2/1M
GPT-4 Turbo$30/1M
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.5$0.8/1M
seed-bootstrap · Aug 1, 2026
Context window+1.9M
GPT-4 Turbo128k
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.52M
seed-bootstrap · Aug 1, 2026
BenchmarkGPT-4 TurboKimi Chat 1.5Advantage Delta
Preference Elo
1,255
seed-bootstrap · Aug 1, 2026
1,420
seed-bootstrap · Aug 1, 2026
+165
Coding Elo—
1,390
seed-bootstrap · Aug 1, 2026
—
LiveBench
47%
seed-bootstrap · Aug 1, 2026
58%
seed-bootstrap · Aug 1, 2026
+11%
SWE-bench
33.2%
seed-bootstrap · Aug 1, 2026
51%
seed-bootstrap · Aug 1, 2026
+17.8%
GPQA Diamond
48%
seed-bootstrap · Aug 1, 2026
71.5%
seed-bootstrap · Aug 1, 2026
+23.5%
Time to first token
350 ms
seed-bootstrap · Aug 1, 2026
210 ms
seed-bootstrap · Aug 1, 2026
+140 ms
Output speed
55 tok/s
seed-bootstrap · Aug 1, 2026
95 tok/s
seed-bootstrap · Aug 1, 2026
+40 tok/s
Input price
$10/1M
seed-bootstrap · Aug 1, 2026
$0.2/1M
seed-bootstrap · Aug 1, 2026
+$9.8/1M
Output price
$30/1M
seed-bootstrap · Aug 1, 2026
$0.8/1M
seed-bootstrap · Aug 1, 2026
+$29.2/1M
Context window
128k
seed-bootstrap · Aug 1, 2026
2M
seed-bootstrap · Aug 1, 2026
+1.9M
Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 98% 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)
GPT-4 Turbo$800.00 / mo
In: $350Out: $450
Kimi Chat 1.5$19.00 / mo
In: $7Out: $12
Estimated Cost Delta

Kimi Chat 1.5 is estimated to save $781.00/month ($9,372/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Kimi Chat 1.5:Pick Kimi Chat 1.5 when repo-level coding accuracy is the constraint.
  • 2
    Kimi Chat 1.5:Pick Kimi Chat 1.5 when time-to-first-token matters more than peak Elo.
  • 3
    Kimi Chat 1.5:Pick Kimi Chat 1.5 for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsKimi Chat 1.5

Higher SWE-bench (51%).

High-volume chatKimi Chat 1.5

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

Voice / low-latency UIKimi Chat 1.5

Lower TTFT (210 ms).

Long-document RAGKimi Chat 1.5

Larger window (2M).

Screenshots / visionGPT-4 Turbo

GPT-4 Turbo is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsKimi Chat 1.5Higher SWE-bench (51%).
High-volume chatKimi Chat 1.5Lower output list price ($0.8/1M).
Voice / low-latency UIKimi Chat 1.5Lower TTFT (210 ms).
Long-document RAGKimi Chat 1.5Larger window (2M).
Screenshots / visionGPT-4 TurboGPT-4 Turbo is the side marked multimodal in the catalog.
Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
OpenAI

GPT-4 Turbo

Elo 1,255
SWE-bench33.2%
Speed (tok/s)55 tok/s
Input / 1M Tokens$10/1M
Output / 1M Tokens$30/1M
Moonshot

Kimi Chat 1.5

Elo 1,420
SWE-bench51%
Speed (tok/s)95 tok/s
Input / 1M Tokens$0.2/1M
Output / 1M Tokens$0.8/1M

Frequently Asked Questions

Which is better overall, GPT-4 Turbo or Kimi Chat 1.5?
Kimi Chat 1.5 has the higher preference Elo in our latest snapshot (1,420). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, GPT-4 Turbo or Kimi Chat 1.5?
Kimi Chat 1.5 leads SWE-bench at 51% vs 33.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Kimi Chat 1.5 output tokens are $0.8/1M versus $30/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4 Turbo or Kimi Chat 1.5?
Kimi Chat 1.5 has the lower time-to-first-token (210 ms vs 350 ms). Tokens/sec is a separate column if you care about long completions.
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. GPT-4 Turbo 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 GPT-4 Turbo matchups →|All Kimi Chat 1.5 matchups →
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