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  3. Claude 3.7 Sonnet vs DeepSeek V4 Pro

Pairwise benchmark snapshot · Aug 1, 2026

Claude 3.7 Sonnet vs DeepSeek V4 Pro benchmark

In this head-to-head showdown, DeepSeek V4 Pro delivers higher overall intelligence and human-preferred responses (Elo 1,536 vs 1,362), while DeepSeek V4 Pro leads in SWE-bench software engineering benchmarks (71.6%), while DeepSeek V4 Pro is more budget-friendly at $1.6/1M per 1M output tokens, while Claude 3.7 Sonnet provides faster response streaming (85 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: DeepSeek V4 Pro holds the advantage over Claude 3.7 Sonnet in overall benchmark performance and human evaluation rankings. Choose DeepSeek V4 Pro 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

Claude 3.7 Sonnet (3)DeepSeek V4 Pro (6)
Claude 3.7 Sonnet
3 of 9 Wins
✓Time to first token✓Output speed✓Context window
DeepSeek V4 Pro
6 of 9 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Input price✓Output price
Anthropic
Leads 3 of 9 metrics
Claude 3.7 Sonnet

Hybrid-reasoning Sonnet from 2025. Kept for historical compare pages.

Elo 1,362$15/1M out
DeepSeek
Leads 6 of 9 metrics
DeepSeek V4 Pro

Open-weight-adjacent DeepSeek flagship. High reasoning density per dollar.

Elo 1,536$1.6/1M out

Claude 3.7 Sonnet Thinking Depth & Cost Scaler

Model A

Simulate accuracy gains vs added response time & token cost

Mode: Medium (16k budget)

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.

Thinking Delay
240 ms
Standard speed
Reasoning Depth
~3,200
Internal tokens
Cost / 1k Calls
$54.00
9.0× standard bill
Accuracy Boost
+5.2% accuracy
STEM & SWE-bench

DeepSeek V4 Pro Thinking Depth & Cost Scaler

Model B

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.

Thinking Delay
410 ms
Standard speed
Reasoning Depth
~2,800
Internal tokens
Cost / 1k Calls
$5.16
7.6× standard bill
Accuracy Boost
+6.5% accuracy
STEM & SWE-bench
Top Rival Showdowns for Claude 3.7 Sonnet
All Matchups
Compare vs:vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek R1vs Qwen 3 Max
Preference LeaderDeepSeek V4 Pro Wins

DeepSeek V4 Pro

Δ 174 Arena Elo pts

Throughput LeaderClaude 3.7 Sonnet Wins

Claude 3.7 Sonnet

85 tok/s

Value per Dollar LeaderDeepSeek V4 Pro Wins

DeepSeek V4 Pro

$1.6 / 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.

Claude 3.7 Sonnet (3)vsDeepSeek V4 Pro (7)
Claude 3.7 Sonnet: 3W (30%)Overall: DeepSeek V4 ProDeepSeek V4 Pro: 7W (70%)
← Claude 3.7 SonnetDeepSeek V4 Pro →
🏆DeepSeek V4 Pro(5/5)

Intelligence & Reasoning

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

Benchmark
Claude 3.7 SonnetvsDeepSeek V4 Pro
Preference Elo
1,362vs1,536+174
Coding Elo
—vs1,544
SWE-bench
70.3%vs71.6%+1.3%
LiveBench
58.4%vs70.1%+11.7%
GPQA Diamond
78.5%vs84%+5.5%
Claude 3.7 Sonnet: 0WDeepSeek V4 Pro: 5W
🏆Claude 3.7 Sonnet(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Claude 3.7 SonnetvsDeepSeek V4 Pro
Output speed
85 tok/svs70 tok/s+15 tok/s
Time to first token
240 msvs410 ms+170 ms
Claude 3.7 Sonnet: 2WDeepSeek V4 Pro: 0W
🏆DeepSeek V4 Pro(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Claude 3.7 SonnetvsDeepSeek V4 Pro
Output price
$15/1Mvs$1.6/1M+$13.4/1M
Input price
$3/1Mvs$0.4/1M+$2.6/1M
Context window
200kvs160k+40k
Claude 3.7 Sonnet: 1WDeepSeek V4 Pro: 2W

Side-by-Side Benchmark Matrix

Preference Elo+174
Claude 3.7 Sonnet1,362
seed-bootstrap · Aug 1, 2026
DeepSeek V4 Pro1,536
seed-bootstrap · Aug 1, 2026
Coding Elo
Claude 3.7 Sonnet—
DeepSeek V4 Pro1,544
seed-bootstrap · Aug 1, 2026
LiveBench+11.7%
Claude 3.7 Sonnet58.4%
seed-bootstrap · Aug 1, 2026
DeepSeek V4 Pro70.1%
seed-bootstrap · Aug 1, 2026
SWE-bench+1.3%
Claude 3.7 Sonnet70.3%
seed-bootstrap · Aug 1, 2026
DeepSeek V4 Pro71.6%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+5.5%
Claude 3.7 Sonnet78.5%
seed-bootstrap · Aug 1, 2026
DeepSeek V4 Pro84%
seed-bootstrap · Aug 1, 2026
Time to first token+170 ms
Claude 3.7 Sonnet240 ms
seed-bootstrap · Aug 1, 2026
DeepSeek V4 Pro410 ms
seed-bootstrap · Aug 1, 2026
Output speed+15 tok/s
Claude 3.7 Sonnet85 tok/s
seed-bootstrap · Aug 1, 2026
DeepSeek V4 Pro70 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$2.6/1M
Claude 3.7 Sonnet$3/1M
seed-bootstrap · Aug 1, 2026
DeepSeek V4 Pro$0.4/1M
seed-bootstrap · Aug 1, 2026
Output price+$13.4/1M
Claude 3.7 Sonnet$15/1M
seed-bootstrap · Aug 1, 2026
DeepSeek V4 Pro$1.6/1M
seed-bootstrap · Aug 1, 2026
Context window+40k
Claude 3.7 Sonnet200k
seed-bootstrap · Aug 1, 2026
DeepSeek V4 Pro160k
seed-bootstrap · Aug 1, 2026
BenchmarkClaude 3.7 SonnetDeepSeek V4 ProAdvantage Delta
Preference Elo
1,362
seed-bootstrap · Aug 1, 2026
1,536
seed-bootstrap · Aug 1, 2026
+174
Coding Elo—
1,544
seed-bootstrap · Aug 1, 2026
—
LiveBench
58.4%
seed-bootstrap · Aug 1, 2026
70.1%
seed-bootstrap · Aug 1, 2026
+11.7%
SWE-bench
70.3%
seed-bootstrap · Aug 1, 2026
71.6%
seed-bootstrap · Aug 1, 2026
+1.3%
GPQA Diamond
78.5%
seed-bootstrap · Aug 1, 2026
84%
seed-bootstrap · Aug 1, 2026
+5.5%
Time to first token
240 ms
seed-bootstrap · Aug 1, 2026
410 ms
seed-bootstrap · Aug 1, 2026
+170 ms
Output speed
85 tok/s
seed-bootstrap · Aug 1, 2026
70 tok/s
seed-bootstrap · Aug 1, 2026
+15 tok/s
Input price
$3/1M
seed-bootstrap · Aug 1, 2026
$0.4/1M
seed-bootstrap · Aug 1, 2026
+$2.6/1M
Output price
$15/1M
seed-bootstrap · Aug 1, 2026
$1.6/1M
seed-bootstrap · Aug 1, 2026
+$13.4/1M
Context window
200k
seed-bootstrap · Aug 1, 2026
160k
seed-bootstrap · Aug 1, 2026
+40k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 88% with DeepSeek V4 Pro
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Claude 3.7 Sonnet$330.00 / mo
In: $105Out: $225
DeepSeek V4 Pro$38.00 / mo
In: $14Out: $24
Estimated Cost Delta

DeepSeek V4 Pro is estimated to save $292.00/month ($3,504/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    DeepSeek V4 Pro:Pick DeepSeek V4 Pro when repo-level coding accuracy is the constraint.
  • 2
    Claude 3.7 Sonnet:Pick Claude 3.7 Sonnet when time-to-first-token matters more than peak Elo.
  • 3
    DeepSeek V4 Pro:Pick DeepSeek V4 Pro as the default general assistant.

Recommended Workload Routing

Repo / coding agentsDeepSeek V4 Pro

Higher SWE-bench (71.6%).

High-volume chatDeepSeek V4 Pro

Lower output list price ($1.6/1M).

Voice / low-latency UIClaude 3.7 Sonnet

Lower TTFT (240 ms).

Long-document RAGClaude 3.7 Sonnet

Larger window (200k).

Screenshots / visionClaude 3.7 Sonnet

Claude 3.7 Sonnet is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsDeepSeek V4 ProHigher SWE-bench (71.6%).
High-volume chatDeepSeek V4 ProLower output list price ($1.6/1M).
Voice / low-latency UIClaude 3.7 SonnetLower TTFT (240 ms).
Long-document RAGClaude 3.7 SonnetLarger window (200k).
Screenshots / visionClaude 3.7 SonnetClaude 3.7 Sonnet is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
compareJun 13, 2026

DeepSeek vs Claude: the cheap-versus-frontier question, remapped

Top DeepSeek vs top Anthropic Elo. Usually V4 Pro vs Opus 5. License and invoice decide as much as Elo.

launchJun 12, 2026

DeepSeek V4 Pro: high reasoning density per dollar

2026-06 open-weight-adjacent flagship. The usual cheap-vs-Claude question starts here.

newsFeb 25, 2025

Claude 3.7 Sonnet stays as a historical hybrid-reasoning baseline

2025 hybrid-reasoning Sonnet. Deprecated for buying, kept for old compare URLs and “what did 3.7 score?”

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.

Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Anthropic

Claude 3.7 Sonnet

Elo 1,362
SWE-bench70.3%
Speed (tok/s)85 tok/s
Input / 1M Tokens$3/1M
Output / 1M Tokens$15/1M
DeepSeek

DeepSeek V4 Pro

Elo 1,536
SWE-bench71.6%
Speed (tok/s)70 tok/s
Input / 1M Tokens$0.4/1M
Output / 1M Tokens$1.6/1M

Frequently Asked Questions

Which is better overall, Claude 3.7 Sonnet or DeepSeek V4 Pro?
DeepSeek V4 Pro has the higher preference Elo in our latest snapshot (1,536). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude 3.7 Sonnet or DeepSeek V4 Pro?
DeepSeek V4 Pro leads SWE-bench at 71.6% vs 70.3%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
DeepSeek V4 Pro output tokens are $1.6/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.7 Sonnet or DeepSeek V4 Pro?
Claude 3.7 Sonnet has the lower time-to-first-token (240 ms vs 410 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Claude 3.7 Sonnet accepts 200k tokens versus 160k.
Can I self-host either model?
DeepSeek V4 Pro 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. Claude 3.7 Sonnet and DeepSeek V4 Pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • compare · Jun 13, 2026

    DeepSeek vs Claude: the cheap-versus-frontier question, remapped

  • launch · Jun 12, 2026

    DeepSeek V4 Pro: high reasoning density per dollar

  • news · Feb 25, 2025

    Claude 3.7 Sonnet stays as a historical hybrid-reasoning baseline

  • launch · Jan 20, 2025

    DeepSeek R1 stays as the open-weights RL baseline

Similar Head-to-Head Comparisons

All Claude 3.7 Sonnet matchups →|All DeepSeek V4 Pro matchups →
Claude 3.7 Sonnet vs Claude 3.5 Sonnet (previous sonnet)Claude 3.7 Sonnet vs Claude Sonnet 4 (next sonnet)DeepSeek V4 Pro vs DeepSeek R1 (previous deepseek)DeepSeek V4 Pro vs DeepSeek V4 Flash (next deepseek)Claude Opus 4.5 vs DeepSeek V4 ProClaude Opus 4.6 vs DeepSeek V4 Pro