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GPT-6.1 Terra vs Qwen3.8 Max (0902)

GPT-6.1 Terra leads Qwen3.8 Max (0902) on coding, 77.4 to 67.1 on the Vibe Coding Index, and GPT-6.1 Terra costs 1.2x less per output token ($5.00 vs $6.00 per million). Updated October 29, 2026; 32 benchmarks have a result for both.

Replace GPT-6.1 Terra Replace Qwen3.8 Max (0902)
GPT-6.1 TerraOpenAI
Coding
77.4
Overall
76.8
Output $/M
$5.00
25
Qwen3.8 Max (0902)Qwen
Coding
67.1
Overall
67.6
Output $/M
$6.00
6
vs boards won of 32 shared, 1 tied

GPT-6.1 Terra or Qwen3.8 Max (0902): which to pick

Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 67.1 for Qwen3.8 Max (0902), though on 4 benchmarks against 5.

Pick Qwen3.8 Max (0902) for work measured by LMArena WebDev or LMArena WebDev: React, where it leads.

Model AGPT-6.1 TerraOpenAI77.4/1004 independent benchmarksNo cost per solved taskModel BQwen3.8 Max (0902)Qwen67.1/1005 independent benchmarks$1.32 per solved task
Shared results
32
GPT-6.1 Terra only
4
Qwen3.8 Max (0902) only
84
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GPT-6.1 Terra 77.4 from 4 benchmarks, Qwen3.8 Max (0902) 67.1 from 5 benchmarks.
Widest category
Math, 20.8 points apart on average over 3 shared benchmarks.
Widest single gap
Furniture assembly: GPT-6.1 Terra 79.2% against Qwen3.8 Max (0902) 20.0%, 59.2 points apart on a 0 to 100 scale.
Output price
GPT-6.1 Terra $5.00 against Qwen3.8 Max (0902) $6.00 per million output tokens, 1.2x apart.
Context window
GPT-6.1 Terra takes 1.05M tokens, Qwen3.8 Max (0902) 1M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGPT-6.1 TerraBarsQwen3.8 Max (0902)Ties
Coding52
Intelligence10
Agentic work43
Reasoning40
Math201 tie
Knowledge10
Web design41
General40
All shared boards2561 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index52
Coding benchmarks for GPT-6.1 Terra and Qwen3.8 Max (0902)
BenchmarkGPT-6.1 TerraQwen3.8 Max (0902)Leader
LiveBench coding94.3%60.3%GPT-6.1 Terra
LMArena WebDev16731676Qwen3.8 Max (0902)
AA Coding IndexNot measured76.2Only Qwen3.8 Max (0902) measured
LiveCodeBench (Vals AI)Not measured87.8%Only Qwen3.8 Max (0902) measured
SWE-bench Verified (Vals AI)Not measured85.6%Only Qwen3.8 Max (0902) measured
Terminal-Bench 4 (Vals AI)49.5%38.9%GPT-6.1 Terra
Vibe Code Bench (Vals AI)84.0%77.1%GPT-6.1 Terra
Code migration (Vals AI)Not measured24.0%Only Qwen3.8 Max (0902) measured
ProgramBench (Vals AI)Not measured0.0%Only Qwen3.8 Max (0902) measured
IOI (Vals AI)Not measured68.9%Only Qwen3.8 Max (0902) measured
Terminal-Bench 2.1 (Vals AI)Not measured67.4%Only Qwen3.8 Max (0902) measured
SWE-bench Multimodal (Vals AI)Not measured42.5%Only Qwen3.8 Max (0902) measured
Vibe Code Bench 1-100 (Vals AI)Not measured24.8%Only Qwen3.8 Max (0902) measured
SkillsBench (Vals AI)Not measured42.0%Only Qwen3.8 Max (0902) measured
CyberBench (Vals AI)Not measured28.6%Only Qwen3.8 Max (0902) measured
SciCode55.1%53.2%GPT-6.1 Terra
FrontierSWENot measured17.8%Only Qwen3.8 Max (0902) measured
ALE-Bench2608.8Not measuredOnly GPT-6.1 Terra measured
LMArena Text: codingNot measured1504Only Qwen3.8 Max (0902) measured
LMArena Text: software and ITNot measured1499Only Qwen3.8 Max (0902) measured
LMArena WebDev: React16571692Qwen3.8 Max (0902)
LMArena WebDev: HTML17191657GPT-6.1 Terra
LMArena WebDev: from an imageNot measured1637Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-6.1 Terra and Qwen3.8 Max (0902)
BenchmarkGPT-6.1 TerraQwen3.8 Max (0902)Leader
AA Intelligence Index51.033.6GPT-6.1 Terra
Epoch Capabilities IndexNot measured157.4Only Qwen3.8 Max (0902) measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index43
Agentic work benchmarks for GPT-6.1 Terra and Qwen3.8 Max (0902)
BenchmarkGPT-6.1 TerraQwen3.8 Max (0902)Leader
AA Agentic IndexNot measured56.0Only Qwen3.8 Max (0902) measured
Design Arena: agents building web appsNot measured1301Only Qwen3.8 Max (0902) measured
Design Arena: agents building full-stack appsNot measured1305Only Qwen3.8 Max (0902) measured
Design Arena: agents building mobile appsNot measured1222Only Qwen3.8 Max (0902) measured
Design Arena: agents building Android appsNot measured1201Only Qwen3.8 Max (0902) measured
Design Arena: agents building Godot gamesNot measured1234Only Qwen3.8 Max (0902) measured
Design Arena: PowerPoint slidesNot measured1217Only Qwen3.8 Max (0902) measured
Design Arena: spreadsheetsNot measured1052Only Qwen3.8 Max (0902) measured
LiveBench research73.9%69.9%GPT-6.1 Terra
LiveBench browser93.1%49.4%GPT-6.1 Terra
LiveBench long agentic48.6%29.9%GPT-6.1 Terra
Finance Agent (Vals AI)Not measured57.9%Only Qwen3.8 Max (0902) measured
Tax Agent Bench (Vals AI)15.2%49.7%Qwen3.8 Max (0902)
Legal Research Bench (Vals AI)26.0%47.6%Qwen3.8 Max (0902)
Harvey's Legal Agent Benchmark (Vals AI)1.7%15.4%Qwen3.8 Max (0902)
Excel Modeling Benchmark (Vals AI)Not measured72.0%Only Qwen3.8 Max (0902) measured
Terminal-Bench-Science (Vals AI)Not measured12.9%Only Qwen3.8 Max (0902) measured
APEX-Agents68.3%63.3%GPT-6.1 Terra
LMArena SearchNot measured1261Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for GPT-6.1 Terra and Qwen3.8 Max (0902)
BenchmarkGPT-6.1 TerraQwen3.8 Max (0902)Leader
GPQA DiamondNot measured93.7%Only Qwen3.8 Max (0902) measured
LiveBench reasoning88.7%88.2%GPT-6.1 Terra
MysteryMechanism (Vals AI)Not measured23.9%Only Qwen3.8 Max (0902) measured
MMMU Pro (Vals AI)Not measured88.0%Only Qwen3.8 Max (0902) measured
GPQA Diamond (Artificial Analysis run)Not measured92.8%Only Qwen3.8 Max (0902) measured
Humanity's Last Exam (Artificial Analysis run)46.2%43.1%GPT-6.1 Terra
GPQA Diamond (Epoch AI run)94.3%92.7%GPT-6.1 Terra
Chess puzzlesNot measured46.0%Only Qwen3.8 Max (0902) measured
Mystery game puzzles74.0%38.0%GPT-6.1 Terra
EBR-bench78.1%Not measuredOnly GPT-6.1 Terra measured
LMArena Text: hard promptsNot measured1496Only Qwen3.8 Max (0902) measured
LMArena Text: expertNot measured1508Only Qwen3.8 Max (0902) measured
LMArena Text: hard prompts in EnglishNot measured1505Only Qwen3.8 Max (0902) measured
LMArena Vision: diagramsNot measured1323Only Qwen3.8 Max (0902) measured
LMArena Vision: homeworkNot measured1336Only Qwen3.8 Max (0902) measured
Humanity's Last Exam (Scale run)35.7%Not measuredOnly GPT-6.1 Terra measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GPT-6.1 Terra and Qwen3.8 Max (0902)
BenchmarkGPT-6.1 TerraQwen3.8 Max (0902)Leader
OTIS Mock AIME100.0%100.0%Tie
FrontierMath, tiers 1 to 390.9%74.7%GPT-6.1 Terra
FrontierMath, tier 492.7%46.3%GPT-6.1 Terra
ProofBenchNot measured58.0%Only Qwen3.8 Max (0902) measured
LMArena Text: mathNot measured1506Only Qwen3.8 Max (0902) measured
LMArena Text: mathematical workNot measured1496Only Qwen3.8 Max (0902) measured
MathArenaNot measured51.0%Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for GPT-6.1 Terra and Qwen3.8 Max (0902)
BenchmarkGPT-6.1 TerraQwen3.8 Max (0902)Leader
MMLU ProNot measured88.6%Only Qwen3.8 Max (0902) measured
LegalBench (Vals AI)Not measured83.6%Only Qwen3.8 Max (0902) measured
CorpFin (Vals AI)Not measured65.8%Only Qwen3.8 Max (0902) measured
TaxEval (Vals AI)Not measured75.5%Only Qwen3.8 Max (0902) measured
MortgageTax (Vals AI)Not measured64.0%Only Qwen3.8 Max (0902) measured
MedCode (Vals AI)Not measured40.7%Only Qwen3.8 Max (0902) measured
SimpleQA Verified57.3%47.3%GPT-6.1 Terra
LMArena Text: scienceNot measured1514Only Qwen3.8 Max (0902) measured
LMArena Text: medicine and healthcareNot measured1505Only Qwen3.8 Max (0902) measured
LMArena Text: legal and governmentNot measured1494Only Qwen3.8 Max (0902) measured
LMArena Text: business and financeNot measured1480Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index41
Web design benchmarks for GPT-6.1 Terra and Qwen3.8 Max (0902)
BenchmarkGPT-6.1 TerraQwen3.8 Max (0902)Leader
Design Arena: websites12831274GPT-6.1 Terra
Design Arena: UI components12771338Qwen3.8 Max (0902)
Design Arena: game dev13481314GPT-6.1 Terra
Design Arena: data vizNot measured1283Only Qwen3.8 Max (0902) measured
Design Arena: 3DNot measured1333Only Qwen3.8 Max (0902) measured
Design Arena: all code categories12951292GPT-6.1 Terra
Design Arena: ASCII artNot measured1194Only Qwen3.8 Max (0902) measured
LiveBench design82.3%78.6%GPT-6.1 Terra
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index40
General benchmarks for GPT-6.1 Terra and Qwen3.8 Max (0902)
BenchmarkGPT-6.1 TerraQwen3.8 Max (0902)Leader
Vals Index60.5%59.1%GPT-6.1 Terra
LiveBench data analysis82.3%78.4%GPT-6.1 Terra
Public Benefits Bench (Vals AI)Not measured67.1%Only Qwen3.8 Max (0902) measured
SAGE (Vals AI)Not measured81.8%Only Qwen3.8 Max (0902) measured
MedScribe (Vals AI)Not measured85.0%Only Qwen3.8 Max (0902) measured
Vals Multimodal IndexNot measured65.4%Only Qwen3.8 Max (0902) measured
Long context reasoning (AA-LCR)82.7%80.3%GPT-6.1 Terra
DTBenchNot measured92.0%Only Qwen3.8 Max (0902) measured
LMCANot measured46.2%Only Qwen3.8 Max (0902) measured
Furniture assembly79.2%20.0%GPT-6.1 Terra
LMArena TextNot measured1483Only Qwen3.8 Max (0902) measured
LMArena Text: instruction followingNot measured1480Only Qwen3.8 Max (0902) measured
LMArena Text: creative writingNot measured1478Only Qwen3.8 Max (0902) measured
LMArena VisionNot measured1313Only Qwen3.8 Max (0902) measured
LMArena Text: EnglishNot measured1493Only Qwen3.8 Max (0902) measured
LMArena Text: non-EnglishNot measured1472Only Qwen3.8 Max (0902) measured
LMArena Text: ChineseNot measured1540Only Qwen3.8 Max (0902) measured
LMArena Text: GermanNot measured1475Only Qwen3.8 Max (0902) measured
LMArena Text: JapaneseNot measured1471Only Qwen3.8 Max (0902) measured
LMArena Text: KoreanNot measured1462Only Qwen3.8 Max (0902) measured
LMArena Text: FrenchNot measured1503Only Qwen3.8 Max (0902) measured
LMArena Text: SpanishNot measured1488Only Qwen3.8 Max (0902) measured
LMArena Text: RussianNot measured1484Only Qwen3.8 Max (0902) measured
LMArena Text: PolishNot measured1475Only Qwen3.8 Max (0902) measured
LMArena Text: multi-turnNot measured1491Only Qwen3.8 Max (0902) measured
LMArena Text: longer queriesNot measured1488Only Qwen3.8 Max (0902) measured
LMArena Text: writing and languageNot measured1478Only Qwen3.8 Max (0902) measured
LMArena Text: entertainment and mediaNot measured1465Only Qwen3.8 Max (0902) measured
LMArena Vision: EnglishNot measured1311Only Qwen3.8 Max (0902) measured
LMArena Vision: ChineseNot measured1358Only Qwen3.8 Max (0902) measured
LMArena Vision: reading textNot measured1322Only Qwen3.8 Max (0902) measured
LMArena Vision: humorNot measured1304Only Qwen3.8 Max (0902) measured
LMArena Vision: creative writingNot measured1312Only Qwen3.8 Max (0902) measured
MultiChallenge74.2%Not measuredOnly GPT-6.1 Terra measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-6.1 Terra and Qwen3.8 Max (0902)
BenchmarkGPT-6.1 TerraQwen3.8 Max (0902)Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GPT-6.1 Terra$0.0035Fits in one request
Qwen3.8 Max (0902)$0.0050Fits in one request

GPT-6.1 Terra costs less

Repository review

50K input + 3K output tokens

GPT-6.1 Terra$0.065Fits in one request
Qwen3.8 Max (0902)$0.118Fits in one request

GPT-6.1 Terra costs less

Agent loop

200K input + 10K output tokens

GPT-6.1 Terra$0.250Fits in one request
Qwen3.8 Max (0902)$0.460Fits in one request

GPT-6.1 Terra costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GPT-6.1 Terra and Qwen3.8 Max (0902)
SpecificationOpenAI GPT-6.1 TerraQwen3.8 Max (0902)
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedOctober 26, 2026September 3, 2026
Context window1.05M1M
Input $/Mtok$1.00$2.00
Output $/Mtok$5.00$6.00
Coding index77.467.1
Independent measurements behind it45
Cost per solved taskNot computable$1.32
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-6.1 Terra better than Qwen3.8 Max (0902) for coding?

Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 67.1 for Qwen3.8 Max (0902), though on 4 benchmarks against 5. Pick Qwen3.8 Max (0902) for work measured by LMArena WebDev or LMArena WebDev: React, where it leads.

Which is cheaper, GPT-6.1 Terra or Qwen3.8 Max (0902)?

GPT-6.1 Terra costs $1.00 per million input tokens and $5.00 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Cost per solved task is known for Qwen3.8 Max (0902) only.

Which has the bigger context window, GPT-6.1 Terra or Qwen3.8 Max (0902)?

GPT-6.1 Terra, with 1.05M tokens against 1M.

How many benchmarks is the GPT-6.1 Terra vs Qwen3.8 Max (0902) comparison based on?

32 benchmarks have a result for both models as of October 29, 2026. GPT-6.1 Terra's coding index rests on 4 independent benchmarks and Qwen3.8 Max (0902)'s on 5. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/gpt-6-1-terra-vs-qwen3-8-max-0902" title="GPT-6.1 Terra vs Qwen3.8 Max (0902), LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-6-1-terra-vs-qwen3-8-max-0902">LLMBenchmark.ai, GPT-6.1 Terra vs Qwen3.8 Max (0902)</a></p>