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Every score has a dated snapshot.

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  3. Claude 3.7 Sonnet vs ByteDance: UI-TARS 7B

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

Claude 3.7 Sonnet vs ByteDance: UI-TARS 7B benchmark

In this head-to-head showdown, ByteDance: UI-TARS 7B is more budget-friendly at $0.2/1M 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 ByteDance: UI-TARS 7B if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

ByteDance: UI-TARS 7B 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
ByteDance: UI-TARS 7B Lowest 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)ByteDance: UI-TARS 7B (2)
Claude 3.7 Sonnet
1 of 3 Wins
✓Context window
ByteDance: UI-TARS 7B
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
ByteDance
Leads 2 of 3
ByteDance: UI-TARS 7B

Auto-discovered from OpenRouter (bytedance/ui-tars-1.5-7b). Preview until a second source matches.

In: $0.1 · Out: $0.2/1M

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 LeaderByteDance: UI-TARS 7B Wins

ByteDance: UI-TARS 7B

$0.19999999999999998 / 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)vsByteDance: UI-TARS 7B (2)
Claude 3.7 Sonnet: 7W (78%)Overall: Claude 3.7 SonnetByteDance: UI-TARS 7B : 2W (22%)
← Claude 3.7 SonnetByteDance: UI-TARS 7B →
🏆Claude 3.7 Sonnet Leads(4/5)

Intelligence & Reasoning

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

Benchmark
Claude 3.7 SonnetvsByteDance: UI-TARS 7B
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: 4WByteDance: UI-TARS 7B : 0W
🏆Claude 3.7 Sonnet Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Claude 3.7 SonnetvsByteDance: UI-TARS 7B
Output speed
85 tok/svs—
Time to first token
240 msvs—
Claude 3.7 Sonnet: 2WByteDance: UI-TARS 7B : 0W
🏆ByteDance: UI-TARS 7B Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Claude 3.7 SonnetvsByteDance: UI-TARS 7B
Output price
$15/1Mvs$0.2/1M+$14.8/1M
Input price
$3/1Mvs$0.1/1M+$2.9/1M
Context window
200kvs128k+72k
Claude 3.7 Sonnet: 1WByteDance: UI-TARS 7B : 2W

Side-by-Side Benchmark Matrix

Claude 3.7 SonnetByteDance: UI-TARS 7B
Preference Elo
Claude 3.7 Sonnet1,362
ByteDance: UI-TARS 7B —
LiveBench
Claude 3.7 Sonnet58.4%
ByteDance: UI-TARS 7B —
SWE-bench
Claude 3.7 Sonnet70.3%
ByteDance: UI-TARS 7B —
GPQA Diamond
Claude 3.7 Sonnet78.5%
ByteDance: UI-TARS 7B —
Time to first token
Claude 3.7 Sonnet240 ms
ByteDance: UI-TARS 7B —
Output speed
Claude 3.7 Sonnet85 tok/s
ByteDance: UI-TARS 7B —
Input priceByteDance: UI-TARS 7B +$2.9/1M
Claude 3.7 Sonnet$3/1M
ByteDance: UI-TARS 7B $0.1/1M
Output priceByteDance: UI-TARS 7B +$14.8/1M
Claude 3.7 Sonnet$15/1M
ByteDance: UI-TARS 7B $0.2/1M
Context windowClaude 3.7 Sonnet +72k
Claude 3.7 Sonnet200k
ByteDance: UI-TARS 7B 128k
BenchmarkClaude 3.7 SonnetByteDance: UI-TARS 7B Advantage 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
$0.1/1M
openrouter · Aug 17, 2026
+$2.9/1M
Output price
$15/1M
seed-bootstrap · Aug 1, 2026
$0.2/1M
openrouter · Aug 17, 2026
+$14.8/1M
Context window
200k
seed-bootstrap · Aug 1, 2026
128k
openrouter · Aug 17, 2026
+72k

Workload Cost & Savings Calculator

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

Save 98% with ByteDance: UI-TARS 7B
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
ByteDance: UI-TARS 7B $6.50 / mo
In: $3.5Out: $3
Estimated Cost Delta

ByteDance: UI-TARS 7B is estimated to save $323.50/month ($3,882/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    ByteDance: UI-TARS 7B :Pick ByteDance: UI-TARS 7B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatByteDance: UI-TARS 7B

Lower output list price ($0.2/1M).

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 chatByteDance: UI-TARS 7B Lower output list price ($0.2/1M).
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?”

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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
ByteDance

ByteDance: UI-TARS 7B

Elo n/a
SWE-bench—
Speed (tok/s)128k
Input / 1M Tokens$0.1/1M
Output / 1M Tokens$0.2/1M

Frequently Asked Questions

Which is better overall, Claude 3.7 Sonnet or ByteDance: UI-TARS 7B ?
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 ByteDance: UI-TARS 7B ?
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?
ByteDance: UI-TARS 7B output tokens are $0.2/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.7 Sonnet or ByteDance: UI-TARS 7B ?
We do not have TTFT for both models.
Which has the larger context window?
Claude 3.7 Sonnet accepts 200k tokens versus 128k.
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 ByteDance: UI-TARS 7B 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 ByteDance: UI-TARS 7B matchups →
Claude 3.7 Sonnet vs Claude 3.5 Sonnet (previous sonnet)Claude 3.7 Sonnet vs Claude Sonnet 4 (next sonnet)Doubao Pro 1.5 vs Claude 3.7 SonnetClaude Opus 4.5 vs Claude 3.7 SonnetClaude Opus 4.6 vs Claude 3.7 SonnetClaude Sonnet 4.5 vs Claude 3.7 Sonnet