CompareLLM
CompareLLM.ai
Live
Leaderboard
Models
Compare
Best of & Stacks
Research & News
…
CompareLLM
CompareLLM.ai
Precision Benchmarks

Programmatic, dated AI model benchmarks, head-to-head comparisons, and Stack Engine presets.

Daily ingest · 06:00 UTC

Analytics & Benchmarks

  • AI Model Leaderboard
  • Head-to-Head Compare Hub
  • Models Directory
  • Stack Engine Presets
  • Frontier Models
  • Open Weights Catalog

Guides & Intent Lists

  • Best LLM Lists (2026)
  • Best Coding LLM
  • Best Cheap LLM
  • Fastest Low-Latency LLM
  • Claude vs GPT Benchmark
  • What is Elo?
  • Methodology Guides
  • News & Dispatches

Transparency & API

  • Evaluation Methodology
  • Benchmark Changelog
  • Public JSON API
  • llms.txt Specification
  • Privacy Policy
  • Sign In / Account

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

Every score has a dated snapshot.

Theme:
Currency:
  1. Home
  2. Comparisons
  3. DeepSeek Coder V2 vs Gemini 2.5 Pro

Pairwise benchmark snapshot · Aug 1, 2026

DeepSeek Coder V2 vs Gemini 2.5 Pro benchmark

In this head-to-head showdown, DeepSeek Coder V2 delivers higher overall intelligence and human-preferred responses (Elo 1,365 vs 1,350), while Gemini 2.5 Pro leads in SWE-bench software engineering benchmarks (63.8%), while DeepSeek Coder V2 is more budget-friendly at $0.28/1M per 1M output tokens, while Gemini 2.5 Pro provides faster response streaming (95 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: DeepSeek Coder V2 holds the advantage over Gemini 2.5 Pro in overall benchmark performance and human evaluation rankings. Choose DeepSeek Coder V2 for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
Share Analysis:
WhatsAppTelegramXLinkedInReddit

Verified Head-to-Head Advantage Breakdown

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

DeepSeek Coder V2 (4)Gemini 2.5 Pro (5)
DeepSeek Coder V2
4 of 9 Wins
✓Preference Elo✓LiveBench✓Input price✓Output price
Gemini 2.5 Pro
5 of 9 Wins
✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed✓Context window
DeepSeek
Leads 4 of 9 metrics
DeepSeek Coder V2

DeepSeek open-weight Mixture-of-Experts coding model supporting 338 programming languages and 128k context.

Elo 1,365$0.28/1M out
Google
Leads 5 of 9 metrics
Gemini 2.5 Pro

Previous Google long-context flagship.

Elo 1,350$5/1M out
Top Rival Showdowns for DeepSeek Coder V2
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs Qwen 3 Max
Preference LeaderDeepSeek Coder V2 Wins

DeepSeek Coder V2

Δ 15 Arena Elo pts

Throughput LeaderGemini 2.5 Pro Wins

Gemini 2.5 Pro

95 tok/s

Value per Dollar LeaderDeepSeek Coder V2 Wins

DeepSeek Coder V2

$0.28 / 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 Coder V2 (5)vsGemini 2.5 Pro (5)
DeepSeek Coder V2: 5W (50%)Overall: Even matchupGemini 2.5 Pro: 5W (50%)
← DeepSeek Coder V2Gemini 2.5 Pro →
🏆DeepSeek Coder V2(3/5)

Intelligence & Reasoning

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

Benchmark
DeepSeek Coder V2vsGemini 2.5 Pro
Preference Elo
1,365vs1,350+15
Coding Elo
1,442vs—
SWE-bench
60.5%vs63.8%+3.3%
LiveBench
58.6%vs57.1%+1.5%
GPQA Diamond
70.2%vs76.4%+6.2%
DeepSeek Coder V2: 3WGemini 2.5 Pro: 2W
🏆Gemini 2.5 Pro(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
DeepSeek Coder V2vsGemini 2.5 Pro
Output speed
75 tok/svs95 tok/s+20 tok/s
Time to first token
290 msvs210 ms+80 ms
DeepSeek Coder V2: 0WGemini 2.5 Pro: 2W
🏆DeepSeek Coder V2(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
DeepSeek Coder V2vsGemini 2.5 Pro
Output price
$0.28/1Mvs$5/1M+$4.72/1M
Input price
$0.14/1Mvs$1.25/1M+$1.11/1M
Context window
128kvs2M+1.9M
DeepSeek Coder V2: 2WGemini 2.5 Pro: 1W

Side-by-Side Benchmark Matrix

Preference Elo+15
DeepSeek Coder V21,365
seed-bootstrap · Aug 1, 2026
Gemini 2.5 Pro1,350
seed-bootstrap · Aug 1, 2026
Coding Elo
DeepSeek Coder V21,442
seed-bootstrap · Aug 1, 2026
Gemini 2.5 Pro—
LiveBench+1.5%
DeepSeek Coder V258.6%
seed-bootstrap · Aug 1, 2026
Gemini 2.5 Pro57.1%
seed-bootstrap · Aug 1, 2026
SWE-bench+3.3%
DeepSeek Coder V260.5%
seed-bootstrap · Aug 1, 2026
Gemini 2.5 Pro63.8%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+6.2%
DeepSeek Coder V270.2%
seed-bootstrap · Aug 1, 2026
Gemini 2.5 Pro76.4%
seed-bootstrap · Aug 1, 2026
Time to first token+80 ms
DeepSeek Coder V2290 ms
seed-bootstrap · Aug 1, 2026
Gemini 2.5 Pro210 ms
seed-bootstrap · Aug 1, 2026
Output speed+20 tok/s
DeepSeek Coder V275 tok/s
seed-bootstrap · Aug 1, 2026
Gemini 2.5 Pro95 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$1.11/1M
DeepSeek Coder V2$0.14/1M
seed-bootstrap · Aug 1, 2026
Gemini 2.5 Pro$1.25/1M
seed-bootstrap · Aug 1, 2026
Output price+$4.72/1M
DeepSeek Coder V2$0.28/1M
seed-bootstrap · Aug 1, 2026
Gemini 2.5 Pro$5/1M
seed-bootstrap · Aug 1, 2026
Context window+1.9M
DeepSeek Coder V2128k
seed-bootstrap · Aug 1, 2026
Gemini 2.5 Pro2M
seed-bootstrap · Aug 1, 2026
BenchmarkDeepSeek Coder V2Gemini 2.5 ProAdvantage Delta
Preference Elo
1,365
seed-bootstrap · Aug 1, 2026
1,350
seed-bootstrap · Aug 1, 2026
+15
Coding Elo
1,442
seed-bootstrap · Aug 1, 2026
——
LiveBench
58.6%
seed-bootstrap · Aug 1, 2026
57.1%
seed-bootstrap · Aug 1, 2026
+1.5%
SWE-bench
60.5%
seed-bootstrap · Aug 1, 2026
63.8%
seed-bootstrap · Aug 1, 2026
+3.3%
GPQA Diamond
70.2%
seed-bootstrap · Aug 1, 2026
76.4%
seed-bootstrap · Aug 1, 2026
+6.2%
Time to first token
290 ms
seed-bootstrap · Aug 1, 2026
210 ms
seed-bootstrap · Aug 1, 2026
+80 ms
Output speed
75 tok/s
seed-bootstrap · Aug 1, 2026
95 tok/s
seed-bootstrap · Aug 1, 2026
+20 tok/s
Input price
$0.14/1M
seed-bootstrap · Aug 1, 2026
$1.25/1M
seed-bootstrap · Aug 1, 2026
+$1.11/1M
Output price
$0.28/1M
seed-bootstrap · Aug 1, 2026
$5/1M
seed-bootstrap · Aug 1, 2026
+$4.72/1M
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 92% with DeepSeek Coder V2
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
DeepSeek Coder V2$9.10 / mo
In: $4.9Out: $4.2
Gemini 2.5 Pro$118.75 / mo
In: $43.75Out: $75
Estimated Cost Delta

DeepSeek Coder V2 is estimated to save $109.65/month ($1,316/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Gemini 2.5 Pro:Pick Gemini 2.5 Pro when repo-level coding accuracy is the constraint.
  • 2
    DeepSeek Coder V2:Pick DeepSeek Coder V2 when you are optimizing output cost.
  • 3
    Gemini 2.5 Pro:Pick Gemini 2.5 Pro when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGemini 2.5 Pro

Higher SWE-bench (63.8%).

High-volume chatDeepSeek Coder V2

Lower output list price ($0.28/1M).

Voice / low-latency UIGemini 2.5 Pro

Lower TTFT (210 ms).

Long-document RAGGemini 2.5 Pro

Larger window (2M).

Screenshots / visionGemini 2.5 Pro

Gemini 2.5 Pro is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGemini 2.5 ProHigher SWE-bench (63.8%).
High-volume chatDeepSeek Coder V2Lower output list price ($0.28/1M).
Voice / low-latency UIGemini 2.5 ProLower TTFT (210 ms).
Long-document RAGGemini 2.5 ProLarger window (2M).
Screenshots / visionGemini 2.5 ProGemini 2.5 Pro is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchMar 25, 2025

Gemini 2.5 Pro remains the previous Google long-context flagship

2025-03 row. 3.x Pro replaced it. Kept for old “2.5 pro vs gpt-4o” inbound.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

Sign in to cast your verified vote, bookmark models, and participate in benchmark discussions.Sign In to Post

No comments posted on this matchup yet. Be the first to share an evaluation note!

Social Share Card Preview

Dynamic OpenGraph banner generated at /compare/deepseek-coder-v2-vs-gemini-2-5-pro/opengraph-image

Save PNG

CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
DeepSeek

DeepSeek Coder V2

Elo 1,365
SWE-bench60.5%
Speed (tok/s)75 tok/s
Input / 1M Tokens$0.14/1M
Output / 1M Tokens$0.28/1M
Google

Gemini 2.5 Pro

Elo 1,350
SWE-bench63.8%
Speed (tok/s)95 tok/s
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$5/1M

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or Gemini 2.5 Pro?
DeepSeek Coder V2 has the higher preference Elo in our latest snapshot (1,365). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, DeepSeek Coder V2 or Gemini 2.5 Pro?
Gemini 2.5 Pro leads SWE-bench at 63.8% vs 60.5%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
DeepSeek Coder V2 output tokens are $0.28/1M versus $5/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek Coder V2 or Gemini 2.5 Pro?
Gemini 2.5 Pro has the lower time-to-first-token (210 ms vs 290 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Gemini 2.5 Pro accepts 2M tokens versus 128k.
Can I self-host either model?
DeepSeek Coder V2 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 Coder V2 and Gemini 2.5 Pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Mar 25, 2025

    Gemini 2.5 Pro remains the previous Google long-context flagship

Similar Head-to-Head Comparisons

All DeepSeek Coder V2 matchups →|All Gemini 2.5 Pro matchups →
DeepSeek Coder V2 vs DeepSeek V3 (next deepseek)Gemini 2.5 Pro vs Gemini 1.5 Pro (previous gemini-pro)Gemini 2.5 Pro vs Gemini 3 Pro (next gemini-pro)Gemini 2.0 Flash Thinking vs DeepSeek Coder V2DeepSeek V4 Flash vs DeepSeek Coder V2Gemini 3 Flash vs DeepSeek Coder V2