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Every score has a dated snapshot.

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  3. DeepSeek R1 vs Gemini 1.5 Pro

Pairwise benchmark snapshot · Aug 17, 2026

DeepSeek R1 vs Gemini 1.5 Pro benchmark

In this head-to-head showdown, DeepSeek R1 delivers higher overall intelligence and human-preferred responses (Elo 1,358 vs 1,260), while DeepSeek R1 leads in SWE-bench software engineering benchmarks (65.2%), while DeepSeek R1 is more budget-friendly at $2.5/1M 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 R1 holds the advantage over Gemini 1.5 Pro in overall benchmark performance and human evaluation rankings. Choose DeepSeek R1 for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
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Executive Verdict Summary

DeepSeek R1 holds empirical advantage (6 of 9 metrics)

Coding / SWESWE-bench
DeepSeek R1Top code solve rate
ReasoningGPQA / Live
DeepSeek R1Top logical accuracy
Best Value$/1M Tok
DeepSeek R1Lowest API billing cost
Speed / TokTok/Sec
Gemini 1.5 ProFastest stream rate

Verified Advantage Breakdown

9 benchmarks evaluated across capability, speed, and cost

DeepSeek R1 (6)Gemini 1.5 Pro (3)
DeepSeek R1
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
DeepSeek R1

Open-weights reasoning model trained with large-scale RL.

Elo 1,358In: $0.7 · Out: $2.5/1M
Google
Leads 3 of 9
Gemini 1.5 Pro

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

Elo 1,260In: $1.25 · Out: $5/1M

DeepSeek R1 Thinking Depth & Cost Scaler

Model A

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Full RL CoT)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Delay
420 ms
Standard
CoT Tokens
~2,800
Internal reasoning
Cost / 1k
$8.10
7.4× base bill
Accuracy Boost
+6.5%
STEM & Logic
Top Rival Showdowns for DeepSeek R1
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs Qwen 3 Max
Preference LeaderDeepSeek R1 Wins

DeepSeek R1

Δ 98 Arena Elo pts

Throughput LeaderGemini 1.5 Pro Wins

Gemini 1.5 Pro

70 tok/s

Value per Dollar LeaderDeepSeek R1 Wins

DeepSeek R1

$2.5 / 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 standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

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

DeepSeek R1 (6)vsGemini 1.5 Pro (3)
DeepSeek R1: 6W (67%)Overall: DeepSeek R1Gemini 1.5 Pro: 3W (33%)
← DeepSeek R1Gemini 1.5 Pro →
🏆DeepSeek R1 Leads(4/5)

Intelligence & Reasoning

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

Benchmark
DeepSeek R1vsGemini 1.5 Pro
Preference Elo
1,358vs1,260+98
Coding Elo
—vs—
SWE-bench
65.2%vs38%+27.2%
LiveBench
59%vs49.2%+9.8%
GPQA Diamond
79.8%vs58%+21.8%
DeepSeek R1: 4WGemini 1.5 Pro: 0W
🏆Gemini 1.5 Pro Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
DeepSeek R1vsGemini 1.5 Pro
Output speed
62 tok/svs70 tok/s+8 tok/s
Time to first token
420 msvs240 ms+180 ms
DeepSeek R1: 0WGemini 1.5 Pro: 2W
🏆DeepSeek R1 Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
DeepSeek R1vsGemini 1.5 Pro
Output price
$2.5/1Mvs$5/1M+$2.5/1M
Input price
$0.7/1Mvs$1.25/1M+$0.55/1M
Context window
64kvs2M+1.9M
DeepSeek R1: 2WGemini 1.5 Pro: 1W

Side-by-Side Benchmark Matrix

DeepSeek R1Gemini 1.5 Pro
Preference EloDeepSeek R1 +98
DeepSeek R11,358
Gemini 1.5 Pro1,260
LiveBenchDeepSeek R1 +9.8%
DeepSeek R159%
Gemini 1.5 Pro49.2%
SWE-benchDeepSeek R1 +27.2%
DeepSeek R165.2%
Gemini 1.5 Pro38%
GPQA DiamondDeepSeek R1 +21.8%
DeepSeek R179.8%
Gemini 1.5 Pro58%
Time to first tokenGemini 1.5 Pro +180 ms
DeepSeek R1420 ms
Gemini 1.5 Pro240 ms
Output speedGemini 1.5 Pro +8 tok/s
DeepSeek R162 tok/s
Gemini 1.5 Pro70 tok/s
Input priceDeepSeek R1 +$0.55/1M
DeepSeek R1$0.7/1M
Gemini 1.5 Pro$1.25/1M
Output priceDeepSeek R1 +$2.5/1M
DeepSeek R1$2.5/1M
Gemini 1.5 Pro$5/1M
Context windowGemini 1.5 Pro +1.9M
DeepSeek R164k
Gemini 1.5 Pro2M
BenchmarkDeepSeek R1Gemini 1.5 ProAdvantage Delta
Preference Elo
1,358
lmarena · Aug 17, 2026
1,260
lmarena · Aug 17, 2026
+98
LiveBench
59%
livebench · Aug 17, 2026
49.2%
livebench · Aug 17, 2026
+9.8%
SWE-bench
65.2%
swebench · Aug 17, 2026
38%
swebench · Aug 17, 2026
+27.2%
GPQA Diamond
79.8%
seed-bootstrap · Aug 1, 2026
58%
seed-bootstrap · Aug 1, 2026
+21.8%
Time to first token
420 ms
seed-bootstrap · Aug 1, 2026
240 ms
seed-bootstrap · Aug 1, 2026
+180 ms
Output speed
62 tok/s
seed-bootstrap · Aug 1, 2026
70 tok/s
seed-bootstrap · Aug 1, 2026
+8 tok/s
Input price
$0.7/1M
openrouter · Aug 17, 2026
$1.25/1M
seed-bootstrap · Aug 1, 2026
+$0.55/1M
Output price
$2.5/1M
openrouter · Aug 17, 2026
$5/1M
seed-bootstrap · Aug 1, 2026
+$2.5/1M
Context window
64k
openrouter · Aug 17, 2026
2M
seed-bootstrap · Aug 1, 2026
+1.9M

Workload Cost & Savings Calculator

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

Save 48% with DeepSeek R1
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
DeepSeek R1$62.00 / mo
In: $24.5Out: $37.5
Gemini 1.5 Pro$118.75 / mo
In: $43.75Out: $75
Estimated Cost Delta

DeepSeek R1 is estimated to save $56.75/month ($681/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    DeepSeek R1:Pick DeepSeek R1 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 R1

Higher SWE-bench (65.2%).

High-volume chatDeepSeek R1

Lower output list price ($2.5/1M).

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 R1Higher SWE-bench (65.2%).
High-volume chatDeepSeek R1Lower output list price ($2.5/1M).
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.

Related Editorial Dispatches & Benchmark Notes

View all news
launchJan 20, 2025

DeepSeek R1 stays as the open-weights RL baseline

Jan 2025 reasoning model. Still searched. V4 Pro is the newer DeepSeek buy.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
DeepSeek

DeepSeek R1

Elo 1,358
SWE-bench65.2%
Speed (tok/s)62 tok/s
Input / 1M Tokens$0.7/1M
Output / 1M Tokens$2.5/1M
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 R1 or Gemini 1.5 Pro?
DeepSeek R1 has the higher preference Elo in our latest snapshot (1,358). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, DeepSeek R1 or Gemini 1.5 Pro?
DeepSeek R1 leads SWE-bench at 65.2% vs 38%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
DeepSeek R1 output tokens are $2.5/1M versus $5/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek R1 or Gemini 1.5 Pro?
Gemini 1.5 Pro has the lower time-to-first-token (240 ms vs 420 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 64k.
Can I self-host either model?
DeepSeek R1 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 R1 and Gemini 1.5 Pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Jan 20, 2025

    DeepSeek R1 stays as the open-weights RL baseline

Similar Head-to-Head Comparisons

All DeepSeek R1 matchups →|All Gemini 1.5 Pro matchups →
DeepSeek R1 vs DeepSeek V3 (previous deepseek)DeepSeek R1 vs DeepSeek V4 Pro (next deepseek)Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)Gemini 2.0 Flash Thinking vs DeepSeek R1DeepSeek V4 Flash vs DeepSeek R1Gemini 3 Flash vs DeepSeek R1