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  3. Claude 3.7 Sonnet vs DeepSeek: DeepSeek V3.1

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Claude 3.7 Sonnet vs DeepSeek: DeepSeek V3.1 benchmark

In this head-to-head showdown, DeepSeek: DeepSeek V3.1 is more budget-friendly at $0.95/1M 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: Choose Claude 3.7 Sonnet if your priority is peak reasoning, complex code generation, and top preference Elo. Choose DeepSeek: DeepSeek V3.1 if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

DeepSeek: DeepSeek V3.1 holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench
Claude 3.7 SonnetTop code solve rate
ReasoningGPQA / Live
Claude 3.7 SonnetTop logical accuracy
Best Value$/1M Tok
DeepSeek: DeepSeek V3.1Lowest API billing cost
Speed / TokTok/Sec
Claude 3.7 SonnetFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Claude 3.7 Sonnet (1)DeepSeek: DeepSeek V3.1 (2)
Claude 3.7 Sonnet
1 of 3 Wins
✓Context window
DeepSeek: DeepSeek V3.1
2 of 3 Wins
✓Input price✓Output price
Anthropic
Leads 1 of 3
Claude 3.7 Sonnet

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

Elo 1,362In: $3 · Out: $15/1M
DeepSeek
Leads 2 of 3
DeepSeek: DeepSeek V3.1

Auto-discovered from OpenRouter (deepseek/deepseek-chat-v3.1). Preview until a second source matches.

In: $0.25 · Out: $0.95/1M

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.

Delay
240 ms
Standard
CoT Tokens
~3,200
Internal reasoning
Cost / 1k
$54.00
9.0× base bill
Accuracy Boost
+5.2%
STEM & Logic
Top Rival Showdowns for Claude 3.7 Sonnet
All Matchups
Compare vs:vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderDeepSeek: DeepSeek V3.1 Wins

DeepSeek: DeepSeek V3.1

$0.95 / 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.

Claude 3.7 Sonnet (7)vsDeepSeek: DeepSeek V3.1 (2)
Claude 3.7 Sonnet: 7W (78%)Overall: Claude 3.7 SonnetDeepSeek: DeepSeek V3.1: 2W (22%)
← Claude 3.7 SonnetDeepSeek: DeepSeek V3.1 →
🏆Claude 3.7 Sonnet Leads(4/5)

Intelligence & Reasoning

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

Benchmark
Claude 3.7 SonnetvsDeepSeek: DeepSeek V3.1
Preference Elo
1,362vs—
Coding Elo
—vs—
SWE-bench
70.3%vs—
LiveBench
58.4%vs—
GPQA Diamond
78.5%vs—
Claude 3.7 Sonnet: 4WDeepSeek: DeepSeek V3.1: 0W
🏆Claude 3.7 Sonnet Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Claude 3.7 SonnetvsDeepSeek: DeepSeek V3.1
Output speed
85 tok/svs—
Time to first token
240 msvs—
Claude 3.7 Sonnet: 2WDeepSeek: DeepSeek V3.1: 0W
🏆DeepSeek: DeepSeek V3.1 Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Claude 3.7 SonnetvsDeepSeek: DeepSeek V3.1
Output price
$15/1Mvs$0.95/1M+$14.05/1M
Input price
$3/1Mvs$0.25/1M+$2.75/1M
Context window
200kvs164k+36k
Claude 3.7 Sonnet: 1WDeepSeek: DeepSeek V3.1: 2W

Side-by-Side Benchmark Matrix

Claude 3.7 SonnetDeepSeek: DeepSeek V3.1
Preference Elo
Claude 3.7 Sonnet1,362
DeepSeek: DeepSeek V3.1—
LiveBench
Claude 3.7 Sonnet58.4%
DeepSeek: DeepSeek V3.1—
SWE-bench
Claude 3.7 Sonnet70.3%
DeepSeek: DeepSeek V3.1—
GPQA Diamond
Claude 3.7 Sonnet78.5%
DeepSeek: DeepSeek V3.1—
Time to first token
Claude 3.7 Sonnet240 ms
DeepSeek: DeepSeek V3.1—
Output speed
Claude 3.7 Sonnet85 tok/s
DeepSeek: DeepSeek V3.1—
Input priceDeepSeek: DeepSeek V3.1 +$2.75/1M
Claude 3.7 Sonnet$3/1M
DeepSeek: DeepSeek V3.1$0.25/1M
Output priceDeepSeek: DeepSeek V3.1 +$14.05/1M
Claude 3.7 Sonnet$15/1M
DeepSeek: DeepSeek V3.1$0.95/1M
Context windowClaude 3.7 Sonnet +36k
Claude 3.7 Sonnet200k
DeepSeek: DeepSeek V3.1164k
BenchmarkClaude 3.7 SonnetDeepSeek: DeepSeek V3.1Advantage Delta
Preference Elo
1,362
lmarena · Aug 17, 2026
——
LiveBench
58.4%
livebench · Aug 17, 2026
——
SWE-bench
70.3%
swebench · Aug 17, 2026
——
GPQA Diamond
78.5%
seed-bootstrap · Aug 1, 2026
——
Time to first token
240 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
85 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$3/1M
seed-bootstrap · Aug 1, 2026
$0.25/1M
openrouter · Aug 17, 2026
+$2.75/1M
Output price
$15/1M
seed-bootstrap · Aug 1, 2026
$0.95/1M
openrouter · Aug 17, 2026
+$14.05/1M
Context window
200k
seed-bootstrap · Aug 1, 2026
164k
openrouter · Aug 17, 2026
+36k

Workload Cost & Savings Calculator

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

Save 93% with DeepSeek: DeepSeek V3.1
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: DeepSeek V3.1$23.00 / mo
In: $8.75Out: $14.25
Estimated Cost Delta

DeepSeek: DeepSeek V3.1 is estimated to save $307.00/month ($3,684/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    DeepSeek: DeepSeek V3.1:Pick DeepSeek: DeepSeek V3.1 when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDeepSeek: DeepSeek V3.1

Lower output list price ($0.95/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

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 agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatDeepSeek: DeepSeek V3.1Lower output list price ($0.95/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
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
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?”

Cast Your Matchup Vote

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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: DeepSeek V3.1

Elo n/a
SWE-bench—
Speed (tok/s)164k
Input / 1M Tokens$0.25/1M
Output / 1M Tokens$0.95/1M

Frequently Asked Questions

Which is better overall, Claude 3.7 Sonnet or DeepSeek: DeepSeek V3.1?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Claude 3.7 Sonnet or DeepSeek: DeepSeek V3.1?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
DeepSeek: DeepSeek V3.1 output tokens are $0.95/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.7 Sonnet or DeepSeek: DeepSeek V3.1?
We do not have TTFT for both models.
Which has the larger context window?
Claude 3.7 Sonnet accepts 200k tokens versus 164k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
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: DeepSeek V3.1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • news · Feb 25, 2025

    Claude 3.7 Sonnet stays as a historical hybrid-reasoning baseline

Similar Head-to-Head Comparisons

All Claude 3.7 Sonnet matchups →|All DeepSeek: DeepSeek V3.1 matchups →
Claude 3.7 Sonnet vs Claude 3.5 Sonnet (previous sonnet)Claude 3.7 Sonnet vs Claude Sonnet 4 (next sonnet)Claude Opus 4.5 vs Claude 3.7 SonnetClaude Opus 4.6 vs Claude 3.7 SonnetClaude Sonnet 4.5 vs Claude 3.7 SonnetClaude Opus 5 vs Claude 3.7 Sonnet