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Every score has a dated snapshot.

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  3. DeepSeek V3 vs Gemini 1.5 Pro

Pairwise benchmark snapshot · Aug 1, 2026

DeepSeek V3 vs Gemini 1.5 Pro benchmark

In this head-to-head showdown, DeepSeek V3 delivers higher overall intelligence and human-preferred responses (Elo 1,310 vs 1,260), while DeepSeek V3 leads in SWE-bench software engineering benchmarks (48.6%), while DeepSeek V3 is more budget-friendly at $1.1/1M per 1M output tokens, while Gemini 1.5 Pro provides faster response streaming (70 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: DeepSeek V3 holds the advantage over Gemini 1.5 Pro in overall benchmark performance and human evaluation rankings. Choose DeepSeek V3 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 (6)Gemini 1.5 Pro (3)
DeepSeek V3
6 of 9 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Input price✓Output price
Gemini 1.5 Pro
3 of 9 Wins
✓Time to first token✓Output speed✓Context window
DeepSeek
Leads 6 of 9 metrics
DeepSeek V3

Prior DeepSeek flagship. Baseline for v3 vs v4.

Elo 1,310$1.1/1M out
Google
Leads 3 of 9 metrics
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
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 LeaderDeepSeek V3 Wins

DeepSeek V3

Δ 50 Arena Elo pts

Throughput LeaderGemini 1.5 Pro Wins

Gemini 1.5 Pro

70 tok/s

Value per Dollar LeaderDeepSeek V3 Wins

DeepSeek V3

$1.1 / 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 (6)vsGemini 1.5 Pro (3)
DeepSeek V3: 6W (67%)Overall: DeepSeek V3Gemini 1.5 Pro: 3W (33%)
← DeepSeek V3Gemini 1.5 Pro →
🏆DeepSeek V3(4/5)

Intelligence & Reasoning

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

Benchmark
DeepSeek V3vsGemini 1.5 Pro
Preference Elo
1,310vs1,260+50
Coding Elo
—vs—
SWE-bench
48.6%vs38%+10.6%
LiveBench
55.4%vs49.2%+6.2%
GPQA Diamond
59.1%vs58%+1.1%
DeepSeek V3: 4WGemini 1.5 Pro: 0W
🏆Gemini 1.5 Pro(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
DeepSeek V3vsGemini 1.5 Pro
Output speed
66 tok/svs70 tok/s+4 tok/s
Time to first token
380 msvs240 ms+140 ms
DeepSeek V3: 0WGemini 1.5 Pro: 2W
🏆DeepSeek V3(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
DeepSeek V3vsGemini 1.5 Pro
Output price
$1.1/1Mvs$5/1M+$3.9/1M
Input price
$0.27/1Mvs$1.25/1M+$0.98/1M
Context window
128kvs2M+1.9M
DeepSeek V3: 2WGemini 1.5 Pro: 1W

Side-by-Side Benchmark Matrix

Preference Elo+50
DeepSeek V31,310
seed-bootstrap · Aug 1, 2026
Gemini 1.5 Pro1,260
seed-bootstrap · Aug 1, 2026
LiveBench+6.2%
DeepSeek V355.4%
seed-bootstrap · Aug 1, 2026
Gemini 1.5 Pro49.2%
seed-bootstrap · Aug 1, 2026
SWE-bench+10.6%
DeepSeek V348.6%
seed-bootstrap · Aug 1, 2026
Gemini 1.5 Pro38%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+1.1%
DeepSeek V359.1%
seed-bootstrap · Aug 1, 2026
Gemini 1.5 Pro58%
seed-bootstrap · Aug 1, 2026
Time to first token+140 ms
DeepSeek V3380 ms
seed-bootstrap · Aug 1, 2026
Gemini 1.5 Pro240 ms
seed-bootstrap · Aug 1, 2026
Output speed+4 tok/s
DeepSeek V366 tok/s
seed-bootstrap · Aug 1, 2026
Gemini 1.5 Pro70 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.98/1M
DeepSeek V3$0.27/1M
seed-bootstrap · Aug 1, 2026
Gemini 1.5 Pro$1.25/1M
seed-bootstrap · Aug 1, 2026
Output price+$3.9/1M
DeepSeek V3$1.1/1M
seed-bootstrap · Aug 1, 2026
Gemini 1.5 Pro$5/1M
seed-bootstrap · Aug 1, 2026
Context window+1.9M
DeepSeek V3128k
seed-bootstrap · Aug 1, 2026
Gemini 1.5 Pro2M
seed-bootstrap · Aug 1, 2026
BenchmarkDeepSeek V3Gemini 1.5 ProAdvantage Delta
Preference Elo
1,310
seed-bootstrap · Aug 1, 2026
1,260
seed-bootstrap · Aug 1, 2026
+50
LiveBench
55.4%
seed-bootstrap · Aug 1, 2026
49.2%
seed-bootstrap · Aug 1, 2026
+6.2%
SWE-bench
48.6%
seed-bootstrap · Aug 1, 2026
38%
seed-bootstrap · Aug 1, 2026
+10.6%
GPQA Diamond
59.1%
seed-bootstrap · Aug 1, 2026
58%
seed-bootstrap · Aug 1, 2026
+1.1%
Time to first token
380 ms
seed-bootstrap · Aug 1, 2026
240 ms
seed-bootstrap · Aug 1, 2026
+140 ms
Output speed
66 tok/s
seed-bootstrap · Aug 1, 2026
70 tok/s
seed-bootstrap · Aug 1, 2026
+4 tok/s
Input price
$0.27/1M
seed-bootstrap · Aug 1, 2026
$1.25/1M
seed-bootstrap · Aug 1, 2026
+$0.98/1M
Output price
$1.1/1M
seed-bootstrap · Aug 1, 2026
$5/1M
seed-bootstrap · Aug 1, 2026
+$3.9/1M
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 78% with DeepSeek V3
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
Gemini 1.5 Pro$118.75 / mo
In: $43.75Out: $75
Estimated Cost Delta

DeepSeek V3 is estimated to save $92.80/month ($1,114/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    DeepSeek V3:Pick DeepSeek V3 when repo-level coding accuracy is the constraint.
  • 2
    Gemini 1.5 Pro:Pick Gemini 1.5 Pro 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 agentsDeepSeek V3

Higher SWE-bench (48.6%).

High-volume chatDeepSeek V3

Lower output list price ($1.1/1M).

Voice / low-latency UIGemini 1.5 Pro

Lower TTFT (240 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 agentsDeepSeek V3Higher SWE-bench (48.6%).
High-volume chatDeepSeek V3Lower output list price ($1.1/1M).
Voice / low-latency UIGemini 1.5 ProLower TTFT (240 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
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
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

Frequently Asked Questions

Which is better overall, DeepSeek V3 or Gemini 1.5 Pro?
DeepSeek V3 has the higher preference Elo in our latest snapshot (1,310). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, DeepSeek V3 or Gemini 1.5 Pro?
DeepSeek V3 leads SWE-bench at 48.6% vs 38%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
DeepSeek V3 output tokens are $1.1/1M versus $5/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek V3 or Gemini 1.5 Pro?
Gemini 1.5 Pro has the lower time-to-first-token (240 ms vs 380 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 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 Gemini 1.5 Pro 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 Gemini 1.5 Pro matchups →
DeepSeek V3 vs DeepSeek Coder V2 (previous deepseek)DeepSeek V3 vs DeepSeek R1 (next deepseek)Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)Gemini 3 Pro vs DeepSeek V3Gemini 3 Flash vs DeepSeek V3DeepSeek V4 Pro vs DeepSeek V3