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

Every score has a dated snapshot.

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  3. GPT-5.6 Luna vs ByteDance: UI-TARS 7B

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

GPT-5.6 Luna 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 GPT-5.6 Luna 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

GPT-5.6 Luna holds empirical advantage (1 of 2 metrics)

Coding / SWESWE-bench
GPT-5.6 LunaTop code solve rate
ReasoningGPQA / Live
GPT-5.6 LunaTop logical accuracy
Best Value$/1M Tok
ByteDance: UI-TARS 7B Lowest API billing cost
Speed / TokTok/Sec
GPT-5.6 LunaFastest stream rate

Verified Advantage Breakdown

2 benchmarks evaluated across capability, speed, and cost

GPT-5.6 Luna (1)ByteDance: UI-TARS 7B (1)
GPT-5.6 Luna
1 of 2 Wins
✓Context window
ByteDance: UI-TARS 7B
1 of 2 Wins
✓Output price
OpenAI
Leads 1 of 2
GPT-5.6 Luna

OpenAI 5.6 fast/cheap tier. Official API $0.20/$1.20 per 1M after the Jul 30 80% Luna cut.

Luna Fast / VolumeElo 1,466In: $0.1 · Out: $0.6/1M
ByteDance
Leads 1 of 2
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

GPT-5.6 Series Lineage & Sibling Variants

3 models

Currently comparing GPT-5.6 Luna vs ByteDance: UI-TARS 7B . Alternative family tiers available.

Active: GPT-5.6 Luna
GPT-5.6 Sol$30GPT-5.6 Terra$6
Top Rival Showdowns for GPT-5.6 Luna
All Matchups
Compare vs:vs Claude Opus 4.5vs 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.

GPT-5.6 Luna (8)vsByteDance: UI-TARS 7B (1)
GPT-5.6 Luna: 8W (89%)Overall: GPT-5.6 LunaByteDance: UI-TARS 7B : 1W (11%)
← GPT-5.6 Luna1 tiesByteDance: UI-TARS 7B →
🏆GPT-5.6 Luna Leads(5/5)

Intelligence & Reasoning

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

Benchmark
GPT-5.6 LunavsByteDance: UI-TARS 7B
Preference Elo
1,466vs—
Coding Elo
1,458vs—
SWE-bench
61.8%vs—
LiveBench
64.2%vs—
GPQA Diamond
75.4%vs—
GPT-5.6 Luna: 5WByteDance: UI-TARS 7B : 0W
🏆GPT-5.6 Luna Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
GPT-5.6 LunavsByteDance: UI-TARS 7B
Output speed
188 tok/svs—
Time to first token
88 msvs—
GPT-5.6 Luna: 2WByteDance: UI-TARS 7B : 0W
Tied (1-1)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
GPT-5.6 LunavsByteDance: UI-TARS 7B
Output price
$0.6/1Mvs$0.2/1M+$0.4/1M
Input price
$0.1/1Mvs$0.1/1M
Context window
1.1Mvs128k+922k
GPT-5.6 Luna: 1WByteDance: UI-TARS 7B : 1W

Side-by-Side Benchmark Matrix

GPT-5.6 LunaByteDance: UI-TARS 7B
Preference Elo
GPT-5.6 Luna1,466
ByteDance: UI-TARS 7B —
Coding Elo
GPT-5.6 Luna1,458
ByteDance: UI-TARS 7B —
LiveBench
GPT-5.6 Luna64.2%
ByteDance: UI-TARS 7B —
SWE-bench
GPT-5.6 Luna61.8%
ByteDance: UI-TARS 7B —
GPQA Diamond
GPT-5.6 Luna75.4%
ByteDance: UI-TARS 7B —
Time to first token
GPT-5.6 Luna88 ms
ByteDance: UI-TARS 7B —
Output speed
GPT-5.6 Luna188 tok/s
ByteDance: UI-TARS 7B —
Input price
GPT-5.6 Luna$0.1/1M
ByteDance: UI-TARS 7B $0.1/1M
Output priceByteDance: UI-TARS 7B +$0.4/1M
GPT-5.6 Luna$0.6/1M
ByteDance: UI-TARS 7B $0.2/1M
Context windowGPT-5.6 Luna +922k
GPT-5.6 Luna1.1M
ByteDance: UI-TARS 7B 128k
BenchmarkGPT-5.6 LunaByteDance: UI-TARS 7B Advantage Delta
Preference Elo
1,466
lmarena · Aug 16, 2026
——
Coding Elo
1,458
lmarena · Aug 16, 2026
——
LiveBench
64.2%
livebench · Aug 16, 2026
——
SWE-bench
61.8%
swebench · Aug 16, 2026
——
GPQA Diamond
75.4%
seed-bootstrap · Aug 16, 2026
——
Time to first token
88 ms
seed-bootstrap · Aug 16, 2026
——
Output speed
188 tok/s
seed-bootstrap · Aug 16, 2026
——
Input price
$0.1/1M
openrouter · Aug 17, 2026
$0.1/1M
openrouter · Aug 17, 2026
—
Output price
$0.6/1M
openrouter · Aug 17, 2026
$0.2/1M
openrouter · Aug 17, 2026
+$0.4/1M
Context window
1.1M
openrouter · Aug 17, 2026
128k
openrouter · Aug 17, 2026
+922k

Workload Cost & Savings Calculator

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

Save 48% 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)
GPT-5.6 Luna$12.50 / mo
In: $3.5Out: $9
ByteDance: UI-TARS 7B $6.50 / mo
In: $3.5Out: $3
Estimated Cost Delta

ByteDance: UI-TARS 7B is estimated to save $6.00/month ($72/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.
  • 2
    GPT-5.6 Luna:Pick GPT-5.6 Luna for million-token RAG or long-document jobs.

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 RAGGPT-5.6 Luna

Larger window (1.1M).

Screenshots / visionGPT-5.6 Luna

GPT-5.6 Luna 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 RAGGPT-5.6 LunaLarger window (1.1M).
Screenshots / visionGPT-5.6 LunaGPT-5.6 Luna is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
priceJul 30, 2026

GPT-5.6 Luna’s 80% cut: $0.20/$1.20 for volume chat

Luna is the OpenAI fast/cheap 5.6 SKU after Jul 30. It is not Sol. Sort by price and TTFT, not Elo.

launchAug 8, 2025

GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

High-volume agents that cannot pay Sol. Compare to Luna before you assume the new cheap SKU wins.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
OpenAI

GPT-5.6 Luna

Elo 1,466
SWE-bench61.8%
Speed (tok/s)188 tok/s
Input / 1M Tokens$0.1/1M
Output / 1M Tokens$0.6/1M
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, GPT-5.6 Luna 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, GPT-5.6 Luna 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 $0.6/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-5.6 Luna or ByteDance: UI-TARS 7B ?
We do not have TTFT for both models.
Which has the larger context window?
GPT-5.6 Luna accepts 1.1M 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. GPT-5.6 Luna and ByteDance: UI-TARS 7B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • price · Jul 30, 2026

    GPT-5.6 Luna’s 80% cut: $0.20/$1.20 for volume chat

  • launch · Aug 8, 2025

    GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

Similar Head-to-Head Comparisons

All GPT-5.6 Luna matchups →|All ByteDance: UI-TARS 7B matchups →
GPT-5.6 Luna vs GPT-5 mini (previous gpt-mini)Doubao Pro 1.5 vs GPT-5.6 LunaGPT-4.5 Orion vs GPT-5.6 LunaGPT-5.6 Terra vs GPT-5.6 LunaGPT-5 vs GPT-5.6 LunaGPT-5.6 Sol vs GPT-5.6 Luna