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GPT-6.1 Terra vs Qwen3.7 Max

GPT-6.1 Terra leads Qwen3.7 Max on coding, 77.4 to 54.1 on the Vibe Coding Index, at about the same output price ($5.00 vs $4.425 per million). Updated October 29, 2026; 21 benchmarks have a result for both.

Replace GPT-6.1 Terra Replace Qwen3.7 Max
GPT-6.1 TerraOpenAI
Coding
77.4
Overall
76.8
Output $/M
$5.00
20
Qwen3.7 MaxQwen
Coding
54.1
Overall
67.1
Output $/M
$4.425
1
vs boards won of 21 shared

GPT-6.1 Terra or Qwen3.7 Max: which to pick

Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 54.1 for Qwen3.7 Max.

Pick Qwen3.7 Max for output tokens 1.1x cheaper ($4.425 vs $5.00 per million) and work measured by Tax Agent Bench (Vals AI), where it leads.

Model AGPT-6.1 TerraOpenAI77.4/1004 independent benchmarksNo cost per solved taskModel BQwen3.7 MaxQwen54.1/1003 independent benchmarks$4.69 per solved task
Shared results
21
GPT-6.1 Terra only
15
Qwen3.7 Max only
38
Like-for-like categories
7 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, Qwen3.7 Max 54.1 from 3 benchmarks.
Widest category
Reasoning, 29.9 points apart on average over 4 shared benchmarks.
Widest single gap
EBR-bench: GPT-6.1 Terra 78.1% against Qwen3.7 Max 9.5%, 68.6 points apart on a 0 to 100 scale.
Output price
GPT-6.1 Terra $5.00 against Qwen3.7 Max $4.425 per million output tokens, 1.1x apart.
Context window
GPT-6.1 Terra takes 1.05M tokens, Qwen3.7 Max 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 TerraBarsQwen3.7 MaxTies
Coding60
Agentic work11
Reasoning40
Math30
Knowledge10
Web design40
General10
All shared boards201
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for GPT-6.1 Terra and Qwen3.7 Max
BenchmarkGPT-6.1 TerraQwen3.7 MaxLeader
LiveBench coding94.3%Not measuredOnly GPT-6.1 Terra measured
LMArena WebDev16731515GPT-6.1 Terra
AA Coding IndexNot measured66.0Only Qwen3.7 Max measured
LiveCodeBench (Vals AI)Not measured87.1%Only Qwen3.7 Max measured
SWE-bench Verified (Vals AI)Not measured68.8%Only Qwen3.7 Max measured
Terminal-Bench 4 (Vals AI)49.5%Not measuredOnly GPT-6.1 Terra measured
Vibe Code Bench (Vals AI)84.0%47.7%GPT-6.1 Terra
Code migration (Vals AI)Not measured13.1%Only Qwen3.7 Max measured
Terminal-Bench 2.1 (Vals AI)Not measured61.0%Only Qwen3.7 Max measured
SciCode55.1%49.5%GPT-6.1 Terra
Terminal-Bench Hard (Artificial Analysis run)Not measured50.8%Only Qwen3.7 Max measured
ALE-Bench2608.81189.4GPT-6.1 Terra
LMArena WebDev: React16571513GPT-6.1 Terra
LMArena WebDev: HTML17191512GPT-6.1 Terra
Neither model has a result on the other 29 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for GPT-6.1 Terra and Qwen3.7 Max
BenchmarkGPT-6.1 TerraQwen3.7 MaxLeader
AA Intelligence Index51.0Not measuredOnly GPT-6.1 Terra measured
Epoch Capabilities IndexNot measured154.0Only Qwen3.7 Max measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for GPT-6.1 Terra and Qwen3.7 Max
BenchmarkGPT-6.1 TerraQwen3.7 MaxLeader
AA Agentic IndexNot measured22.5Only Qwen3.7 Max measured
Design Arena: agents building web appsNot measured1209Only Qwen3.7 Max measured
Design Arena: agents building full-stack appsNot measured1191Only Qwen3.7 Max measured
Design Arena: agents building mobile appsNot measured1156Only Qwen3.7 Max measured
Design Arena: agents building Android appsNot measured1155Only Qwen3.7 Max measured
Design Arena: agents building Godot gamesNot measured1187Only Qwen3.7 Max measured
Design Arena: agents building gamesNot measured1124Only Qwen3.7 Max measured
Design Arena: HTML slidesNot measured1055Only Qwen3.7 Max measured
Design Arena: PowerPoint slidesNot measured1149Only Qwen3.7 Max measured
LiveBench research73.9%Not measuredOnly GPT-6.1 Terra measured
LiveBench browser93.1%Not measuredOnly GPT-6.1 Terra measured
LiveBench long agentic48.6%Not measuredOnly GPT-6.1 Terra measured
Finance Agent (Vals AI)Not measured47.8%Only Qwen3.7 Max measured
Tax Agent Bench (Vals AI)15.2%15.8%Qwen3.7 Max
Legal Research Bench (Vals AI)26.0%25.5%GPT-6.1 Terra
Harvey's Legal Agent Benchmark (Vals AI)1.7%Not measuredOnly GPT-6.1 Terra measured
Excel Modeling Benchmark (Vals AI)Not measured57.0%Only Qwen3.7 Max measured
τ²-Bench TelecomNot measured94.7%Only Qwen3.7 Max measured
APEX-Agents68.3%Not measuredOnly GPT-6.1 Terra 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 Qwen3.7 Max
BenchmarkGPT-6.1 TerraQwen3.7 MaxLeader
GPQA DiamondNot measured90.2%Only Qwen3.7 Max measured
LiveBench reasoning88.7%Not measuredOnly GPT-6.1 Terra measured
GPQA Diamond (Artificial Analysis run)Not measured92.3%Only Qwen3.7 Max measured
Humanity's Last Exam (Artificial Analysis run)46.2%40.5%GPT-6.1 Terra
GPQA Diamond (Epoch AI run)94.3%90.9%GPT-6.1 Terra
SimpleBenchNot measured70.4%Only Qwen3.7 Max measured
Chess puzzlesNot measured26.0%Only Qwen3.7 Max measured
Mystery game puzzles74.0%32.0%GPT-6.1 Terra
EBR-bench78.1%9.5%GPT-6.1 Terra
Humanity's Last Exam (Scale run)35.7%Not measuredOnly GPT-6.1 Terra measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for GPT-6.1 Terra and Qwen3.7 Max
BenchmarkGPT-6.1 TerraQwen3.7 MaxLeader
OTIS Mock AIME100.0%95.6%GPT-6.1 Terra
FrontierMath, tiers 1 to 390.9%64.6%GPT-6.1 Terra
FrontierMath, tier 492.7%34.1%GPT-6.1 Terra
ProofBenchNot measured26.0%Only Qwen3.7 Max measured
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for GPT-6.1 Terra and Qwen3.7 Max
BenchmarkGPT-6.1 TerraQwen3.7 MaxLeader
MMLU ProNot measured89.3%Only Qwen3.7 Max measured
LegalBench (Vals AI)Not measured84.9%Only Qwen3.7 Max measured
CorpFin (Vals AI)Not measured63.7%Only Qwen3.7 Max measured
TaxEval (Vals AI)Not measured75.3%Only Qwen3.7 Max measured
MedCode (Vals AI)Not measured38.8%Only Qwen3.7 Max measured
SimpleQA Verified57.3%55.8%GPT-6.1 Terra
Neither model has a result on the other 14 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index40
Web design benchmarks for GPT-6.1 Terra and Qwen3.7 Max
BenchmarkGPT-6.1 TerraQwen3.7 MaxLeader
Design Arena: websites12831274GPT-6.1 Terra
Design Arena: UI components12771265GPT-6.1 Terra
Design Arena: game dev13481264GPT-6.1 Terra
Design Arena: data vizNot measured1276Only Qwen3.7 Max measured
Design Arena: 3DNot measured1262Only Qwen3.7 Max measured
Design Arena: all code categories12951274GPT-6.1 Terra
Design Arena: SVGNot measured1214Only Qwen3.7 Max measured
Design Arena: ASCII artNot measured1208Only Qwen3.7 Max measured
LiveBench design82.3%Not measuredOnly GPT-6.1 Terra measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for GPT-6.1 Terra and Qwen3.7 Max
BenchmarkGPT-6.1 TerraQwen3.7 MaxLeader
Vals Index60.5%Not measuredOnly GPT-6.1 Terra measured
LiveBench data analysis82.3%Not measuredOnly GPT-6.1 Terra measured
MedScribe (Vals AI)Not measured79.4%Only Qwen3.7 Max measured
IFBenchNot measured80.5%Only Qwen3.7 Max measured
Long context reasoning (AA-LCR)82.7%79.0%GPT-6.1 Terra
DTBenchNot measured92.3%Only Qwen3.7 Max measured
LMCANot measured44.0%Only Qwen3.7 Max measured
Furniture assembly79.2%Not measuredOnly GPT-6.1 Terra measured
MultiChallenge74.2%Not measuredOnly GPT-6.1 Terra measured
EQ-Bench 4Not measured1100Only Qwen3.7 Max measured
Neither model has a result on the other 38 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 Qwen3.7 Max
BenchmarkGPT-6.1 TerraQwen3.7 MaxLeader
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
Qwen3.7 Max$0.0037Fits 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
Qwen3.7 Max$0.087Fits 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
Qwen3.7 Max$0.339Fits 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 Qwen3.7 Max
SpecificationOpenAI GPT-6.1 TerraQwen3.7 Max
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedOctober 26, 2026May 21, 2026
Context window1.05M1M
Input $/Mtok$1.00$1.475
Output $/Mtok$5.00$4.425
Coding index77.454.1
Independent measurements behind it43
Cost per solved taskNot computable$4.69
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-6.1 Terra better than Qwen3.7 Max for coding?

Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 54.1 for Qwen3.7 Max. Pick Qwen3.7 Max for output tokens 1.1x cheaper ($4.425 vs $5.00 per million) and work measured by Tax Agent Bench (Vals AI), where it leads.

Which is cheaper, GPT-6.1 Terra or Qwen3.7 Max?

GPT-6.1 Terra costs $1.00 per million input tokens and $5.00 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Cost per solved task is known for Qwen3.7 Max only.

Which has the bigger context window, GPT-6.1 Terra or Qwen3.7 Max?

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

How many benchmarks is the GPT-6.1 Terra vs Qwen3.7 Max comparison based on?

21 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 Qwen3.7 Max's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-6-1-terra-vs-qwen3-7-max">LLMBenchmark.ai, GPT-6.1 Terra vs Qwen3.7 Max</a></p>