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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  3. Gemini 1.5 Pro vs Kimi Chat 1.5

Pairwise benchmark snapshot · Aug 17, 2026

Gemini 1.5 Pro 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 1,260), 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 Gemini 1.5 Pro 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

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

Gemini 1.5 Pro (0)Kimi Chat 1.5 (8)
Gemini 1.5 Pro
0 of 8 Wins
Competitive baseline across remaining benchmarks
Kimi Chat 1.5
8 of 8 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed✓Input price✓Output price
Google
Gemini 1.5 Pro

First million-token Gemini Pro. Baseline for 1.5 vs 2.5 vs 3.x Pro.

Elo 1,260$5/1M out
Moonshot
Leads 8 of 8 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 Gemini 1.5 Pro
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference LeaderKimi Chat 1.5 Wins

Kimi Chat 1.5

Δ 160 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
0–100 %ile
Head-to-Head Comparison

Overall Matchup Breakdown

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

Gemini 1.5 Pro (0)vsKimi Chat 1.5 (9)
Gemini 1.5 Pro: 0W (0%)Overall: Kimi Chat 1.5Kimi Chat 1.5: 9W (100%)
← Gemini 1.5 Pro1 tiesKimi Chat 1.5 →
🏆Kimi Chat 1.5(5/5)

Intelligence & Reasoning

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

Benchmark
Gemini 1.5 ProvsKimi Chat 1.5
Preference Elo
1,260vs1,420+160
Coding Elo
—vs1,390
SWE-bench
38%vs51%+13%
LiveBench
49.2%vs58%+8.8%
GPQA Diamond
58%vs71.5%+13.5%
Gemini 1.5 Pro: 0WKimi Chat 1.5: 5W
🏆Kimi Chat 1.5(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Gemini 1.5 ProvsKimi Chat 1.5
Output speed
70 tok/svs95 tok/s+25 tok/s
Time to first token
240 msvs210 ms+30 ms
Gemini 1.5 Pro: 0WKimi Chat 1.5: 2W
🏆Kimi Chat 1.5(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Gemini 1.5 ProvsKimi Chat 1.5
Output price
$5/1Mvs$0.8/1M+$4.2/1M
Input price
$1.25/1Mvs$0.2/1M+$1.05/1M
Context window
2Mvs2M
Gemini 1.5 Pro: 0WKimi Chat 1.5: 2W

Side-by-Side Benchmark Matrix

Preference Elo+160
Gemini 1.5 Pro1,260
lmarena · Aug 17, 2026
Kimi Chat 1.51,420
lmarena · Aug 17, 2026
Coding Elo
Gemini 1.5 Pro—
Kimi Chat 1.51,390
lmarena · Aug 17, 2026
LiveBench+8.8%
Gemini 1.5 Pro49.2%
livebench · Aug 17, 2026
Kimi Chat 1.558%
livebench · Aug 17, 2026
SWE-bench+13%
Gemini 1.5 Pro38%
swebench · Aug 17, 2026
Kimi Chat 1.551%
swebench · Aug 17, 2026
GPQA Diamond+13.5%
Gemini 1.5 Pro58%
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.571.5%
seed-bootstrap · Aug 1, 2026
Time to first token+30 ms
Gemini 1.5 Pro240 ms
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.5210 ms
seed-bootstrap · Aug 1, 2026
Output speed+25 tok/s
Gemini 1.5 Pro70 tok/s
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.595 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$1.05/1M
Gemini 1.5 Pro$1.25/1M
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.5$0.2/1M
seed-bootstrap · Aug 1, 2026
Output price+$4.2/1M
Gemini 1.5 Pro$5/1M
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.5$0.8/1M
seed-bootstrap · Aug 1, 2026
Context window
Gemini 1.5 Pro2M
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.52M
seed-bootstrap · Aug 1, 2026
BenchmarkGemini 1.5 ProKimi Chat 1.5Advantage Delta
Preference Elo
1,260
lmarena · Aug 17, 2026
1,420
lmarena · Aug 17, 2026
+160
Coding Elo—
1,390
lmarena · Aug 17, 2026
—
LiveBench
49.2%
livebench · Aug 17, 2026
58%
livebench · Aug 17, 2026
+8.8%
SWE-bench
38%
swebench · Aug 17, 2026
51%
swebench · Aug 17, 2026
+13%
GPQA Diamond
58%
seed-bootstrap · Aug 1, 2026
71.5%
seed-bootstrap · Aug 1, 2026
+13.5%
Time to first token
240 ms
seed-bootstrap · Aug 1, 2026
210 ms
seed-bootstrap · Aug 1, 2026
+30 ms
Output speed
70 tok/s
seed-bootstrap · Aug 1, 2026
95 tok/s
seed-bootstrap · Aug 1, 2026
+25 tok/s
Input price
$1.25/1M
seed-bootstrap · Aug 1, 2026
$0.2/1M
seed-bootstrap · Aug 1, 2026
+$1.05/1M
Output price
$5/1M
seed-bootstrap · Aug 1, 2026
$0.8/1M
seed-bootstrap · Aug 1, 2026
+$4.2/1M
Context window
2M
seed-bootstrap · Aug 1, 2026
2M
seed-bootstrap · Aug 1, 2026
—
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 84% 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)
Gemini 1.5 Pro$118.75 / mo
In: $43.75Out: $75
Kimi Chat 1.5$19.00 / mo
In: $7Out: $12
Estimated Cost Delta

Kimi Chat 1.5 is estimated to save $99.75/month ($1,197/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
    Gemini 1.5 Pro:Pick Gemini 1.5 Pro 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 RAGGemini 1.5 Pro

Larger window (2M).

Screenshots / visionGemini 1.5 Pro

Gemini 1.5 Pro 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 RAGGemini 1.5 ProLarger window (2M).
Screenshots / visionGemini 1.5 ProGemini 1.5 Pro is the side marked multimodal in the catalog.
Community Sentiment

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Google

Gemini 1.5 Pro

Elo 1,260
SWE-bench38%
Speed (tok/s)70 tok/s
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$5/1M
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, Gemini 1.5 Pro 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, Gemini 1.5 Pro or Kimi Chat 1.5?
Kimi Chat 1.5 leads SWE-bench at 51% vs 38%. 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 $5/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 1.5 Pro or Kimi Chat 1.5?
Kimi Chat 1.5 has the lower time-to-first-token (210 ms vs 240 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Gemini 1.5 Pro accepts 2M tokens versus 2M.
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. Gemini 1.5 Pro 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 Gemini 1.5 Pro matchups →|All Kimi Chat 1.5 matchups →
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