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Every score has a dated snapshot.

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  2. Comparisons
  3. DeepSeek V3 vs Kimi Chat 1.5

Pairwise benchmark snapshot · Aug 1, 2026

DeepSeek V3 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 1,310), 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 DeepSeek V3 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

DeepSeek V3 (0)Kimi Chat 1.5 (9)
DeepSeek V3
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
DeepSeek
DeepSeek V3

Prior DeepSeek flagship. Baseline for v3 vs v4.

Elo 1,310$1.1/1M 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 DeepSeek V3
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs Qwen 3 Max
Preference LeaderKimi Chat 1.5 Wins

Kimi Chat 1.5

Δ 110 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.

DeepSeek V3 (0)vsKimi Chat 1.5 (10)
DeepSeek V3: 0W (0%)Overall: Kimi Chat 1.5Kimi Chat 1.5: 10W (100%)
← DeepSeek V3Kimi Chat 1.5 →
🏆Kimi Chat 1.5(5/5)

Intelligence & Reasoning

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

Benchmark
DeepSeek V3vsKimi Chat 1.5
Preference Elo
1,310vs1,420+110
Coding Elo
—vs1,390
SWE-bench
48.6%vs51%+2.4%
LiveBench
55.4%vs58%+2.6%
GPQA Diamond
59.1%vs71.5%+12.4%
DeepSeek V3: 0WKimi Chat 1.5: 5W
🏆Kimi Chat 1.5(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
DeepSeek V3vsKimi Chat 1.5
Output speed
66 tok/svs95 tok/s+29 tok/s
Time to first token
380 msvs210 ms+170 ms
DeepSeek V3: 0WKimi Chat 1.5: 2W
🏆Kimi Chat 1.5(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
DeepSeek V3vsKimi Chat 1.5
Output price
$1.1/1Mvs$0.8/1M+$0.3/1M
Input price
$0.27/1Mvs$0.2/1M+$0.07/1M
Context window
128kvs2M+1.9M
DeepSeek V3: 0WKimi Chat 1.5: 3W

Side-by-Side Benchmark Matrix

Preference Elo+110
DeepSeek V31,310
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.51,420
seed-bootstrap · Aug 1, 2026
Coding Elo
DeepSeek V3—
Kimi Chat 1.51,390
seed-bootstrap · Aug 1, 2026
LiveBench+2.6%
DeepSeek V355.4%
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.558%
seed-bootstrap · Aug 1, 2026
SWE-bench+2.4%
DeepSeek V348.6%
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.551%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+12.4%
DeepSeek V359.1%
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.571.5%
seed-bootstrap · Aug 1, 2026
Time to first token+170 ms
DeepSeek V3380 ms
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.5210 ms
seed-bootstrap · Aug 1, 2026
Output speed+29 tok/s
DeepSeek V366 tok/s
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.595 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.07/1M
DeepSeek V3$0.27/1M
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.5$0.2/1M
seed-bootstrap · Aug 1, 2026
Output price+$0.3/1M
DeepSeek V3$1.1/1M
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.5$0.8/1M
seed-bootstrap · Aug 1, 2026
Context window+1.9M
DeepSeek V3128k
seed-bootstrap · Aug 1, 2026
Kimi Chat 1.52M
seed-bootstrap · Aug 1, 2026
BenchmarkDeepSeek V3Kimi Chat 1.5Advantage Delta
Preference Elo
1,310
seed-bootstrap · Aug 1, 2026
1,420
seed-bootstrap · Aug 1, 2026
+110
Coding Elo—
1,390
seed-bootstrap · Aug 1, 2026
—
LiveBench
55.4%
seed-bootstrap · Aug 1, 2026
58%
seed-bootstrap · Aug 1, 2026
+2.6%
SWE-bench
48.6%
seed-bootstrap · Aug 1, 2026
51%
seed-bootstrap · Aug 1, 2026
+2.4%
GPQA Diamond
59.1%
seed-bootstrap · Aug 1, 2026
71.5%
seed-bootstrap · Aug 1, 2026
+12.4%
Time to first token
380 ms
seed-bootstrap · Aug 1, 2026
210 ms
seed-bootstrap · Aug 1, 2026
+170 ms
Output speed
66 tok/s
seed-bootstrap · Aug 1, 2026
95 tok/s
seed-bootstrap · Aug 1, 2026
+29 tok/s
Input price
$0.27/1M
seed-bootstrap · Aug 1, 2026
$0.2/1M
seed-bootstrap · Aug 1, 2026
+$0.07/1M
Output price
$1.1/1M
seed-bootstrap · Aug 1, 2026
$0.8/1M
seed-bootstrap · Aug 1, 2026
+$0.3/1M
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 27% 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)
DeepSeek V3$25.95 / mo
In: $9.45Out: $16.5
Kimi Chat 1.5$19.00 / mo
In: $7Out: $12
Estimated Cost Delta

Kimi Chat 1.5 is estimated to save $6.95/month ($83/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 / visionKimi Chat 1.5

Kimi Chat 1.5 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 / visionKimi Chat 1.5Kimi Chat 1.5 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
DeepSeek

DeepSeek V3

Elo 1,310
SWE-bench48.6%
Speed (tok/s)66 tok/s
Input / 1M Tokens$0.27/1M
Output / 1M Tokens$1.1/1M
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, DeepSeek V3 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, DeepSeek V3 or Kimi Chat 1.5?
Kimi Chat 1.5 leads SWE-bench at 51% vs 48.6%. 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 $1.1/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek V3 or Kimi Chat 1.5?
Kimi Chat 1.5 has the lower time-to-first-token (210 ms vs 380 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?
DeepSeek V3 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 V3 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 DeepSeek V3 matchups →|All Kimi Chat 1.5 matchups →
DeepSeek V3 vs DeepSeek Coder V2 (previous deepseek)DeepSeek V3 vs DeepSeek R1 (next deepseek)Kimi Chat 1.5 vs Kimi K2 (next kimi)DeepSeek V4 Pro vs Kimi Chat 1.5Kimi K3 vs Kimi Chat 1.5Kimi K2.5 Max vs Kimi Chat 1.5