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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. Doubao Pro 1.5 vs GPT-5.6 Luna

Pairwise benchmark snapshot · Aug 16, 2026

Doubao Pro 1.5 vs GPT-5.6 Luna benchmark

This page compares Doubao Pro 1.5 (ByteDance) and GPT-5.6 Luna (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Doubao Pro 1.5 is ahead by 4 points (1,470 vs 1,466; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Doubao Pro 1.5 resolves 62.1% versus 61.8% (seed-bootstrap (Aug 1, 2026)). GPT-5.6 Luna streams faster (188 tok/s) while Doubao Pro 1.5 is the cheaper output token ($0.28/1M). GPT-5.6 Luna has the larger context window (1.1M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

Quick answer

Doubao Pro 1.5 vs GPT-5.6 Luna is a dated snapshot, not a lab score. Doubao Pro 1.5 leads preference Elo (1,470 vs 1,466). Doubao Pro 1.5 leads SWE-bench coding. Doubao Pro 1.5 is the cheaper output token. Elo is crowd preference, not an exam. Pick the column that matches the job.
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ByteDance

Doubao Pro 1.5

ByteDance flagship enterprise model with ultra-low token cost and 128k context.

Elo 1,470$0.28/1M out

OpenAI

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.

Elo 1,466$0.6/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

Model A
Model B
Quick vs:vs Claude Opus 4.5vs Claude Opus 4.6vs Claude Sonnet 4.5vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Doubao Pro 1.5 (5)vsGPT-5.6 Luna (5)
Doubao Pro 1.5: 5W (50%)Overall: Even matchupGPT-5.6 Luna: 5W (50%)
← Doubao Pro 1.5GPT-5.6 Luna →
Doubao Pro 1.5 (4/5)

Intelligence & Reasoning

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

Preference Elo
1,470vs1,466
Coding Elo
1,465vs1,458
SWE-bench
62.1%vs61.8%
LiveBench
64%vs64.2%
GPQA Diamond
77.5%vs75.4%
Doubao Pro 1.5: 4WGPT-5.6 Luna: 1W
GPT-5.6 Luna (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
105 tok/svs188 tok/s
Time to first token
190 msvs88 ms
Doubao Pro 1.5: 0WGPT-5.6 Luna: 2W
GPT-5.6 Luna (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$0.28/1Mvs$0.6/1M
Input price
$0.11/1Mvs$0.1/1M
Context window
128kvs1.1M
Doubao Pro 1.5: 1WGPT-5.6 Luna: 2W
Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageDoubao Pro 1.5 4/6
Preference Elo

Doubao Pro 1.5

4 pts advantage

Throughput Speed

GPT-5.6 Luna

83 tok/s faster

Price Efficiency

Doubao Pro 1.5

$0.32/1M cheaper

Full Benchmark Score Matrix

—
Elo
High is better
1,470
EloHigh is better
1,466
Code Elo
High is better
1,465
Code EloHigh is better
1,458
LiveBench
High is better
64%
LiveBenchHigh is better
64.2%
SWE-bench
High is better
62.1%
SWE-benchHigh is better
61.8%
GPQA
High is better
+3%77.5%
GPQAHigh is better
75.4%
TTFT
Low is better
190 ms
TTFTLow is better
88 ms+116%
Speed
High is better
105 tok/s
SpeedHigh is better
188 tok/s+79%
In $
Low is better
$0.11/1M
In $Low is better
$0.1/1M+10%
Out $
Low is better
+114%$0.28/1M
Out $Low is better
$0.6/1M
Context
High is better
128k
ContextHigh is better
1.1M+720%
Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 36% with Doubao Pro 1.5
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Doubao Pro 1.5$8.05 / mo
In: $3.85Out: $4.20
GPT-5.6 Luna$12.50 / mo
In: $3.50Out: $9.00
Estimated Cost Delta

Doubao Pro 1.5 is estimated to save $4.45/month ($53/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Doubao Pro 1.5:Pick Doubao Pro 1.5 when repo-level coding accuracy is the constraint.
  • 2
    GPT-5.6 Luna:Pick GPT-5.6 Luna when time-to-first-token matters more than peak Elo.
  • 3
    GPT-5.6 Luna:Pick GPT-5.6 Luna for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsDoubao Pro 1.5

Higher SWE-bench (62.1%).

High-volume chatDoubao Pro 1.5

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

Voice / low-latency UIGPT-5.6 Luna

Lower TTFT (88 ms).

Long-document RAGGPT-5.6 Luna

Larger window (1.1M).

Screenshots / visionDoubao Pro 1.5

Both accept images. Defaulting to the higher-Elo side (Doubao Pro 1.5).

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsDoubao Pro 1.5Higher SWE-bench (62.1%).
High-volume chatDoubao Pro 1.5Lower output list price ($0.28/1M).
Voice / low-latency UIGPT-5.6 LunaLower TTFT (88 ms).
Long-document RAGGPT-5.6 LunaLarger window (1.1M).
Screenshots / visionDoubao Pro 1.5Both accept images. Defaulting to the higher-Elo side (Doubao Pro 1.5).

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.

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
ByteDance

Doubao Pro 1.5

Elo 1,470
LiveBench64%
SWE-bench62.1%
Speed105 tok/s
Output cost$0.28/1M
OpenAI

GPT-5.6 Luna

Elo 1,466
LiveBench64.2%
SWE-bench61.8%
Speed188 tok/s
Output cost$0.6/1M

Frequently Asked Questions

Which is better overall, Doubao Pro 1.5 or GPT-5.6 Luna?
Doubao Pro 1.5 has the higher preference Elo in our latest snapshot (1,470). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Doubao Pro 1.5 or GPT-5.6 Luna?
Doubao Pro 1.5 leads SWE-bench at 62.1% vs 61.8%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Doubao Pro 1.5 output tokens are $0.28/1M versus $0.6/1M. Input prices and retry rates still move the real bill.
Which is faster, Doubao Pro 1.5 or GPT-5.6 Luna?
GPT-5.6 Luna has the lower time-to-first-token (88 ms vs 190 ms). Tokens/sec is a separate column if you care about long completions.
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. Doubao Pro 1.5 and GPT-5.6 Luna 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 Doubao Pro 1.5 matchups →|All GPT-5.6 Luna matchups →
Doubao Pro 1.5 vs Doubao Lite 1.5 (previous seed)Doubao Pro 1.5 vs Seed 2.1 Turbo (next seed)GPT-5.6 Luna vs GPT-5 mini (previous gpt-mini)GPT-4.5 Orion vs Doubao Pro 1.5GPT-5.6 Terra vs Doubao Pro 1.5GPT-5 vs Doubao Pro 1.5