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GPT-5.6 Terra vs Qwen3.8 27B

Qwen3.8 27B leads GPT-5.6 Terra on coding, 74.2 to 63.9 on the Vibe Coding Index, and Qwen3.8 27B costs 4.7x less per output token ($2.55 vs $12.00 per million). Updated October 22, 2026; 85 benchmarks have a result for both.

Replace GPT-5.6 Terra Replace Qwen3.8 27B
GPT-5.6 TerraOpenAI
Coding
63.9
Overall
68.1
Output $/M
$12.00
73
Qwen3.8 27BQwen
Coding
74.2
Overall
59.6
Output $/M
$2.55
12
vs boards won of 85 shared

GPT-5.6 Terra or Qwen3.8 27B: which to pick

Pick Qwen3.8 27B for coding: it scores 74.2 on the Vibe Coding Index against 63.9 for GPT-5.6 Terra, though on 4 benchmarks against 6.

Pick GPT-5.6 Terra for a lower cost per solved task ($0.42 against $1.26) and a larger context window (1.05M against 1M tokens).

Model AGPT-5.6 TerraOpenAI63.9/1006 independent benchmarks$0.42 per solved taskModel BQwen3.8 27BQwen74.2/1004 independent benchmarks$1.26 per solved task
Shared results
85
GPT-5.6 Terra only
44
Qwen3.8 27B only
0
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-5.6 Terra 63.9 from 6 benchmarks, Qwen3.8 27B 74.2 from 4 benchmarks.
Widest category
Math, 21.1 points apart on average over 3 shared benchmarks.
Widest single gap
ProofBench: GPT-5.6 Terra 74.0% against Qwen3.8 27B 16.0%, 58.0 points apart on a 0 to 100 scale.
Output price
GPT-5.6 Terra $12.00 against Qwen3.8 27B $2.55 per million output tokens, 4.7x apart.
Context window
GPT-5.6 Terra takes 1.05M tokens, Qwen3.8 27B 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-5.6 TerraBarsQwen3.8 27BTies
Coding135
Intelligence20
Agentic work82
Reasoning120
Math30
Knowledge72
Web design10
General273
All shared boards7312
CodingLike-for-likeSix of these boards feed the Vibe Coding Index135
Coding benchmarks for GPT-5.6 Terra and Qwen3.8 27B
BenchmarkGPT-5.6 TerraQwen3.8 27BLeader
LiveBench coding86.2%86.8%Qwen3.8 27B
LMArena WebDev15221593Qwen3.8 27B
AA Coding Index76.768.1GPT-5.6 Terra
LiveCodeBench (Vals AI)85.9%84.0%GPT-5.6 Terra
SWE-bench Verified (Vals AI)95.4%86.0%GPT-5.6 Terra
Terminal-Bench 4 (Vals AI)22.7%Not measuredOnly GPT-5.6 Terra measured
Vibe Code Bench (Vals AI)74.6%64.8%GPT-5.6 Terra
Code migration (Vals AI)47.8%14.2%GPT-5.6 Terra
ProgramBench (Vals AI)0.5%0.0%GPT-5.6 Terra
IOI (Vals AI)87.6%39.1%GPT-5.6 Terra
Terminal-Bench 2.1 (Vals AI)77.5%58.4%GPT-5.6 Terra
Vibe Code Bench 1-100 (Vals AI)14.8%Not measuredOnly GPT-5.6 Terra measured
SkillsBench (Vals AI)58.9%38.1%GPT-5.6 Terra
CyberBench (Vals AI)72.1%67.8%GPT-5.6 Terra
SciCode55.0%46.6%GPT-5.6 Terra
Terminal-Bench Hard (Artificial Analysis run)62.9%Not measuredOnly GPT-5.6 Terra measured
FrontierCode41.3%Not measuredOnly GPT-5.6 Terra measured
WeirdML78.3%Not measuredOnly GPT-5.6 Terra measured
ALE-Bench1951.4Not measuredOnly GPT-5.6 Terra measured
LMArena Text: coding14851483GPT-5.6 Terra
LMArena Text: software and IT14821478GPT-5.6 Terra
LMArena WebDev: React15131602Qwen3.8 27B
LMArena WebDev: HTML15261570Qwen3.8 27B
LMArena WebDev: from an image15411577Qwen3.8 27B
SciCode10.8%Not measuredOnly GPT-5.6 Terra measured
SWE-Bench Pro V292.4%Not measuredOnly GPT-5.6 Terra measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.6 Terra and Qwen3.8 27B
BenchmarkGPT-5.6 TerraQwen3.8 27BLeader
AA Intelligence Index42.133.7GPT-5.6 Terra
Epoch Capabilities Index160.1151.7GPT-5.6 Terra
Agentic workLike-for-likePublic boards, shown as published, kept out of the index82
Agentic work benchmarks for GPT-5.6 Terra and Qwen3.8 27B
BenchmarkGPT-5.6 TerraQwen3.8 27BLeader
AA Agentic Index43.245.8Qwen3.8 27B
Design Arena: agents building web apps1120Not measuredOnly GPT-5.6 Terra measured
Design Arena: agents building full-stack apps1061Not measuredOnly GPT-5.6 Terra measured
Design Arena: agents building mobile apps1110Not measuredOnly GPT-5.6 Terra measured
Design Arena: agents building Android apps1060Not measuredOnly GPT-5.6 Terra measured
Design Arena: agents building games1083Not measuredOnly GPT-5.6 Terra measured
Design Arena: HTML slides1047Not measuredOnly GPT-5.6 Terra measured
Design Arena: PowerPoint slides1104Not measuredOnly GPT-5.6 Terra measured
LiveBench research60.4%59.4%GPT-5.6 Terra
LiveBench browser84.0%32.0%GPT-5.6 Terra
LiveBench long agentic48.4%27.9%GPT-5.6 Terra
SREBench (Vals AI)9.5%Not measuredOnly GPT-5.6 Terra measured
Finance Agent (Vals AI)54.4%48.5%GPT-5.6 Terra
Tax Agent Bench (Vals AI)30.0%30.9%Qwen3.8 27B
Legal Research Bench (Vals AI)41.4%36.1%GPT-5.6 Terra
Excel Modeling Benchmark (Vals AI)66.2%59.7%GPT-5.6 Terra
Terminal-Bench-Science (Vals AI)10.0%0.0%GPT-5.6 Terra
τ²-Bench Telecom86.3%Not measuredOnly GPT-5.6 Terra measured
APEX-Agents58.2%47.5%GPT-5.6 Terra
BALROG53.2%Not measuredOnly GPT-5.6 Terra measured
Vending-Bench 2$7,343Not measuredOnly GPT-5.6 Terra measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for GPT-5.6 Terra and Qwen3.8 27B
BenchmarkGPT-5.6 TerraQwen3.8 27BLeader
GPQA Diamond90.9%88.9%GPT-5.6 Terra
LiveBench reasoning90.6%80.0%GPT-5.6 Terra
MMMU Pro (Vals AI)86.5%83.9%GPT-5.6 Terra
GPQA Diamond (Artificial Analysis run)92.5%90.5%GPT-5.6 Terra
Humanity's Last Exam (Artificial Analysis run)42.9%33.9%GPT-5.6 Terra
GPQA Diamond (Epoch AI run)93.3%Not measuredOnly GPT-5.6 Terra measured
ARC-AGI96.5%87.5%GPT-5.6 Terra
ARC-AGI-283.9%42.4%GPT-5.6 Terra
SimpleBench48.9%Not measuredOnly GPT-5.6 Terra measured
Chess puzzles47.0%Not measuredOnly GPT-5.6 Terra measured
Mystery game puzzles35.0%Not measuredOnly GPT-5.6 Terra measured
LMArena Text: hard prompts14691459GPT-5.6 Terra
LMArena Text: expert14961479GPT-5.6 Terra
LMArena Text: hard prompts in English14651461GPT-5.6 Terra
LMArena Vision: diagrams12951285GPT-5.6 Terra
LMArena Vision: homework13121295GPT-5.6 Terra
Kagi LLM Benchmark51.3%Not measuredOnly GPT-5.6 Terra measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for GPT-5.6 Terra and Qwen3.8 27B
BenchmarkGPT-5.6 TerraQwen3.8 27BLeader
OTIS Mock AIME99.7%Not measuredOnly GPT-5.6 Terra measured
FrontierMath, tiers 1 to 386.0%Not measuredOnly GPT-5.6 Terra measured
FrontierMath, tier 470.7%Not measuredOnly GPT-5.6 Terra measured
ProofBench74.0%16.0%GPT-5.6 Terra
LMArena Text: math14651455GPT-5.6 Terra
LMArena Text: mathematical work14781458GPT-5.6 Terra
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index72
Knowledge benchmarks for GPT-5.6 Terra and Qwen3.8 27B
BenchmarkGPT-5.6 TerraQwen3.8 27BLeader
MMLU Pro86.7%84.3%GPT-5.6 Terra
LegalBench (Vals AI)85.1%82.4%GPT-5.6 Terra
CorpFin (Vals AI)65.3%Not measuredOnly GPT-5.6 Terra measured
TaxEval (Vals AI)76.2%70.8%GPT-5.6 Terra
MortgageTax (Vals AI)67.3%64.9%GPT-5.6 Terra
MedCode (Vals AI)43.4%28.7%GPT-5.6 Terra
SimpleQA Verified43.2%Not measuredOnly GPT-5.6 Terra measured
LMArena Text: science14521467Qwen3.8 27B
LMArena Text: medicine and healthcare14301437Qwen3.8 27B
LMArena Text: legal and government14611447GPT-5.6 Terra
LMArena Text: business and finance14481438GPT-5.6 Terra
FACTS Benchmark Suite52.0%Not measuredOnly GPT-5.6 Terra measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index10
Web design benchmarks for GPT-5.6 Terra and Qwen3.8 27B
BenchmarkGPT-5.6 TerraQwen3.8 27BLeader
Design Arena: websites1268Not measuredOnly GPT-5.6 Terra measured
Design Arena: UI components1256Not measuredOnly GPT-5.6 Terra measured
Design Arena: game dev1229Not measuredOnly GPT-5.6 Terra measured
Design Arena: data viz1240Not measuredOnly GPT-5.6 Terra measured
Design Arena: 3D1134Not measuredOnly GPT-5.6 Terra measured
Design Arena: all code categories1240Not measuredOnly GPT-5.6 Terra measured
Design Arena: SVG1219Not measuredOnly GPT-5.6 Terra measured
Design Arena: ASCII art1178Not measuredOnly GPT-5.6 Terra measured
LiveBench design76.0%75.9%GPT-5.6 Terra
GeneralLike-for-likePublic boards, shown as published, kept out of the index273
General benchmarks for GPT-5.6 Terra and Qwen3.8 27B
BenchmarkGPT-5.6 TerraQwen3.8 27BLeader
LiveBench data analysis79.3%76.6%GPT-5.6 Terra
Public Benefits Bench (Vals AI)62.4%Not measuredOnly GPT-5.6 Terra measured
SAGE (Vals AI)47.0%52.4%Qwen3.8 27B
MedScribe (Vals AI)82.9%83.8%Qwen3.8 27B
Vals Multimodal Index65.1%Not measuredOnly GPT-5.6 Terra measured
IFBench71.2%Not measuredOnly GPT-5.6 Terra measured
Long context reasoning (AA-LCR)83.0%82.0%GPT-5.6 Terra
DTBench93.3%88.0%GPT-5.6 Terra
LMCA54.9%41.4%GPT-5.6 Terra
Surface Evolver Bench83.8%45.0%GPT-5.6 Terra
Furniture assembly54.2%Not measuredOnly GPT-5.6 Terra measured
LMArena Text14481440GPT-5.6 Terra
LMArena Text: instruction following14561436GPT-5.6 Terra
LMArena Text: creative writing14131383GPT-5.6 Terra
LMArena Vision12711269GPT-5.6 Terra
LMArena Text: English14491448GPT-5.6 Terra
LMArena Text: non-English14411428GPT-5.6 Terra
LMArena Text: Chinese15141501GPT-5.6 Terra
LMArena Text: German14601443GPT-5.6 Terra
LMArena Text: Japanese14541387GPT-5.6 Terra
LMArena Text: Korean14271384GPT-5.6 Terra
LMArena Text: French14661465GPT-5.6 Terra
LMArena Text: Spanish14511449GPT-5.6 Terra
LMArena Text: Russian14521415GPT-5.6 Terra
LMArena Text: Polish14461439GPT-5.6 Terra
LMArena Text: multi-turn14531440GPT-5.6 Terra
LMArena Text: longer queries14541448GPT-5.6 Terra
LMArena Text: writing and language14311405GPT-5.6 Terra
LMArena Text: entertainment and media14181393GPT-5.6 Terra
LMArena Vision: English12721267GPT-5.6 Terra
LMArena Vision: Chinese13371326GPT-5.6 Terra
LMArena Vision: reading text12781281Qwen3.8 27B
LMArena Vision: humor12361235GPT-5.6 Terra
LMArena Vision: creative writing12481237GPT-5.6 Terra
LMArena Document1472Not measuredOnly GPT-5.6 Terra measured
EQ-Bench 41234Not measuredOnly GPT-5.6 Terra measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.6 Terra and Qwen3.8 27B
BenchmarkGPT-5.6 TerraQwen3.8 27BLeader
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-5.6 Terra$0.0080Fits in one request
Qwen3.8 27B$0.0017Fits in one request

Qwen3.8 27B costs less

Repository review

50K input + 3K output tokens

GPT-5.6 Terra$0.136Fits in one request
Qwen3.8 27B$0.029Fits in one request

Qwen3.8 27B costs less

Agent loop

200K input + 10K output tokens

GPT-5.6 Terra$0.520Fits in one request
Qwen3.8 27B$0.111Fits in one request

Qwen3.8 27B 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-5.6 Terra and Qwen3.8 27B
SpecificationOpenAI GPT-5.6 TerraQwen3.8 27B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedJuly 9, 2026August 14, 2026
Context window1.05M1M
Input $/Mtok$2.00$0.425
Output $/Mtok$12.00$2.55
Coding index63.974.2
Independent measurements behind it64
Cost per solved task$0.42$1.26
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.6 Terra better than Qwen3.8 27B for coding?

Pick Qwen3.8 27B for coding: it scores 74.2 on the Vibe Coding Index against 63.9 for GPT-5.6 Terra, though on 4 benchmarks against 6. Pick GPT-5.6 Terra for a lower cost per solved task ($0.42 against $1.26) and a larger context window (1.05M against 1M tokens).

Which is cheaper, GPT-5.6 Terra or Qwen3.8 27B?

GPT-5.6 Terra costs $2.00 per million input tokens and $12.00 per million output tokens; Qwen3.8 27B costs $0.425 and $2.55. Per solved SWE-bench Verified task, GPT-5.6 Terra costs $0.42 and Qwen3.8 27B $1.26.

Which has the bigger context window, GPT-5.6 Terra or Qwen3.8 27B?

GPT-5.6 Terra, with 1.05M tokens against 1M.

How many benchmarks is the GPT-5.6 Terra vs Qwen3.8 27B comparison based on?

85 benchmarks have a result for both models as of October 22, 2026. GPT-5.6 Terra's coding index rests on 6 independent benchmarks and Qwen3.8 27B's on 4. Where only one model has a result, the page says so instead of naming a winner.

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