Command A+ vs GPT-5.6 Terra

Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Command A+ Replace GPT-5.6 Terra

Command A+Cohere

Coding: No data
Overall: No data
Output $/M: $1.50

GPT-5.6 TerraOpenAI

Coding: 63.9
Overall: 42.1
Output $/M: $12.00

vs $1.50 vs $12.00 per 1M output tokens. Command A+ is 8.0x cheaper.

Decision reading

Only GPT-5.6 Terra has a coding score, 63.9 on the Vibe Coding Index; Command A+ has none, so the two cannot be ranked on coding.

Command A+ has the edge where output tokens cost 8.0x less.

Model ACommand A+CohereNot benchmarkedNo coding benchmarkNo cost per solved task Model BGPT-5.6 TerraOpenAI63.9/1006 independent benchmarks$0.42 per solved task

124

Shared results: 0
Command A+ only: 0
GPT-5.6 Terra only: 124
Like-for-like categories: 0 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Only GPT-5.6 Terra has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only GPT-5.6 Terra has a AA Intelligence Index result, 42.1.
Directional only
Agentic work
AA Agentic Index
No call
Only GPT-5.6 Terra has a AA Agentic Index result, 43.2.
Directional only
Reasoning
GPQA Diamond
No call
Only GPT-5.6 Terra has a GPQA Diamond result, 90.9%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5.6 Terra has a MMLU Pro result, 86.7%.
Directional only
Web design
Design Arena: websites
No call
Only GPT-5.6 Terra has a Design Arena: websites result, 1269.
Directional only
Long documents
Listed context window
GPT-5.6 Terra
GPT-5.6 Terra takes 1.05M tokens against 192K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Command A+
Command A+ $0.0010, GPT-5.6 Terra $0.0080 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.6 Terra has the number, $0.42.
Directional only

At a glance

Coding index: Command A+ not benchmarked, GPT-5.6 Terra 63.9 from 6 benchmarks.
Widest category: No category has a result for both models.
Widest single gap: No benchmark has a result for both models.
Output price: Command A+ $1.50 against GPT-5.6 Terra $12.00 per million output tokens, 8.0x apart.
Context window: Command A+ takes 192K tokens, GPT-5.6 Terra 1.05M.

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.

CodingDirectional onlySix of these boards feed the Vibe Coding Index24 boards, none shared

Coding benchmarks for Command A+ and GPT-5.6 Terra
Benchmark	Command A+	GPT-5.6 Terra	Leader
LiveBench coding	Not measured	86.2%	Only GPT-5.6 Terra measured
LMArena WebDev	Not measured	1522	Only GPT-5.6 Terra measured
AA Coding Index	Not measured	76.7	Only GPT-5.6 Terra measured
LiveCodeBench (Vals AI)	Not measured	85.9%	Only GPT-5.6 Terra measured
SWE-bench Verified (Vals AI)	Not measured	95.4%	Only GPT-5.6 Terra measured
Terminal-Bench 4 (Vals AI)	Not measured	22.7%	Only GPT-5.6 Terra measured
Vibe Code Bench (Vals AI)	Not measured	74.6%	Only GPT-5.6 Terra measured
Code migration (Vals AI)	Not measured	47.8%	Only GPT-5.6 Terra measured
ProgramBench (Vals AI)	Not measured	0.5%	Only GPT-5.6 Terra measured
IOI (Vals AI)	Not measured	87.6%	Only GPT-5.6 Terra measured
Terminal-Bench 2.1 (Vals AI)	Not measured	77.5%	Only GPT-5.6 Terra measured
Vibe Code Bench 1-100 (Vals AI)	Not measured	14.8%	Only GPT-5.6 Terra measured
SkillsBench (Vals AI)	Not measured	58.9%	Only GPT-5.6 Terra measured
CyberBench (Vals AI)	Not measured	72.1%	Only GPT-5.6 Terra measured
SciCode	Not measured	55.0%	Only GPT-5.6 Terra measured
Terminal-Bench Hard (Artificial Analysis run)	Not measured	62.9%	Only GPT-5.6 Terra measured
FrontierCode	Not measured	41.3%	Only GPT-5.6 Terra measured
WeirdML	Not measured	78.3%	Only GPT-5.6 Terra measured
ALE-Bench	Not measured	1951.4	Only GPT-5.6 Terra measured
LMArena Text: coding	Not measured	1485	Only GPT-5.6 Terra measured
LMArena Text: software and IT	Not measured	1482	Only GPT-5.6 Terra measured
LMArena WebDev: React	Not measured	1513	Only GPT-5.6 Terra measured
LMArena WebDev: HTML	Not measured	1526	Only GPT-5.6 Terra measured
LMArena WebDev: from an image	Not measured	1541	Only GPT-5.6 Terra measured
Neither model has a result on the other 14 boards here

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared

Intelligence benchmarks for Command A+ and GPT-5.6 Terra
Benchmark	Command A+	GPT-5.6 Terra	Leader
AA Intelligence Index	Not measured	42.1	Only GPT-5.6 Terra measured
Epoch Capabilities Index	Not measured	160.1	Only GPT-5.6 Terra measured

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared

Agentic work benchmarks for Command A+ and GPT-5.6 Terra
Benchmark	Command A+	GPT-5.6 Terra	Leader
AA Agentic Index	Not measured	43.2	Only GPT-5.6 Terra measured
Design Arena: agents building web apps	Not measured	1120	Only GPT-5.6 Terra measured
Design Arena: agents building full-stack apps	Not measured	1061	Only GPT-5.6 Terra measured
Design Arena: agents building mobile apps	Not measured	1111	Only GPT-5.6 Terra measured
Design Arena: agents building Android apps	Not measured	1066	Only GPT-5.6 Terra measured
Design Arena: agents building games	Not measured	1083	Only GPT-5.6 Terra measured
Design Arena: HTML slides	Not measured	1108	Only GPT-5.6 Terra measured
Design Arena: PowerPoint slides	Not measured	1131	Only GPT-5.6 Terra measured
LiveBench research	Not measured	60.4%	Only GPT-5.6 Terra measured
LiveBench browser	Not measured	84.0%	Only GPT-5.6 Terra measured
LiveBench long agentic	Not measured	48.4%	Only GPT-5.6 Terra measured
SREBench (Vals AI)	Not measured	9.5%	Only GPT-5.6 Terra measured
Finance Agent (Vals AI)	Not measured	54.4%	Only GPT-5.6 Terra measured
Tax Agent Bench (Vals AI)	Not measured	30.0%	Only GPT-5.6 Terra measured
Legal Research Bench (Vals AI)	Not measured	41.4%	Only GPT-5.6 Terra measured
Excel Modeling Benchmark (Vals AI)	Not measured	66.2%	Only GPT-5.6 Terra measured
Terminal-Bench-Science (Vals AI)	Not measured	10.0%	Only GPT-5.6 Terra measured
τ²-Bench Telecom	Not measured	86.3%	Only GPT-5.6 Terra measured
APEX-Agents	Not measured	58.2%	Only GPT-5.6 Terra measured
BALROG	Not measured	53.2%	Only GPT-5.6 Terra measured
Vending-Bench 2	Not measured	$7,343	Only GPT-5.6 Terra measured
Neither model has a result on the other 18 boards here

ReasoningDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared

Reasoning benchmarks for Command A+ and GPT-5.6 Terra
Benchmark	Command A+	GPT-5.6 Terra	Leader
GPQA Diamond	Not measured	90.9%	Only GPT-5.6 Terra measured
LiveBench reasoning	Not measured	90.6%	Only GPT-5.6 Terra measured
MMMU Pro (Vals AI)	Not measured	86.5%	Only GPT-5.6 Terra measured
GPQA Diamond (Artificial Analysis run)	Not measured	92.5%	Only GPT-5.6 Terra measured
Humanity's Last Exam (Artificial Analysis run)	Not measured	42.9%	Only GPT-5.6 Terra measured
GPQA Diamond (Epoch AI run)	Not measured	93.3%	Only GPT-5.6 Terra measured
ARC-AGI	Not measured	96.5%	Only GPT-5.6 Terra measured
ARC-AGI-2	Not measured	83.9%	Only GPT-5.6 Terra measured
SimpleBench	Not measured	48.9%	Only GPT-5.6 Terra measured
Chess puzzles	Not measured	47.0%	Only GPT-5.6 Terra measured
Mystery game puzzles	Not measured	35.0%	Only GPT-5.6 Terra measured
LMArena Text: hard prompts	Not measured	1469	Only GPT-5.6 Terra measured
LMArena Text: expert	Not measured	1496	Only GPT-5.6 Terra measured
LMArena Text: hard prompts in English	Not measured	1465	Only GPT-5.6 Terra measured
LMArena Vision: diagrams	Not measured	1295	Only GPT-5.6 Terra measured
LMArena Vision: homework	Not measured	1312	Only GPT-5.6 Terra measured
Neither model has a result on the other 5 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared

Math benchmarks for Command A+ and GPT-5.6 Terra
Benchmark	Command A+	GPT-5.6 Terra	Leader
OTIS Mock AIME	Not measured	99.7%	Only GPT-5.6 Terra measured
FrontierMath, tiers 1 to 3	Not measured	86.0%	Only GPT-5.6 Terra measured
FrontierMath, tier 4	Not measured	70.7%	Only GPT-5.6 Terra measured
ProofBench	Not measured	74.0%	Only GPT-5.6 Terra measured
LMArena Text: math	Not measured	1465	Only GPT-5.6 Terra measured
LMArena Text: mathematical work	Not measured	1478	Only GPT-5.6 Terra measured
Neither model has a result on the other 7 boards here

KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared

Knowledge benchmarks for Command A+ and GPT-5.6 Terra
Benchmark	Command A+	GPT-5.6 Terra	Leader
MMLU Pro	Not measured	86.7%	Only GPT-5.6 Terra measured
LegalBench (Vals AI)	Not measured	85.1%	Only GPT-5.6 Terra measured
CorpFin (Vals AI)	Not measured	65.3%	Only GPT-5.6 Terra measured
TaxEval (Vals AI)	Not measured	76.2%	Only GPT-5.6 Terra measured
MortgageTax (Vals AI)	Not measured	67.3%	Only GPT-5.6 Terra measured
MedCode (Vals AI)	Not measured	43.4%	Only GPT-5.6 Terra measured
SimpleQA Verified	Not measured	43.2%	Only GPT-5.6 Terra measured
LMArena Text: science	Not measured	1452	Only GPT-5.6 Terra measured
LMArena Text: medicine and healthcare	Not measured	1430	Only GPT-5.6 Terra measured
LMArena Text: legal and government	Not measured	1461	Only GPT-5.6 Terra measured
LMArena Text: business and finance	Not measured	1448	Only GPT-5.6 Terra measured
Neither model has a result on the other 6 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared

Web design benchmarks for Command A+ and GPT-5.6 Terra
Benchmark	Command A+	GPT-5.6 Terra	Leader
Design Arena: websites	Not measured	1269	Only GPT-5.6 Terra measured
Design Arena: UI components	Not measured	1259	Only GPT-5.6 Terra measured
Design Arena: game dev	Not measured	1230	Only GPT-5.6 Terra measured
Design Arena: data viz	Not measured	1239	Only GPT-5.6 Terra measured
Design Arena: 3D	Not measured	1135	Only GPT-5.6 Terra measured
Design Arena: all code categories	Not measured	1241	Only GPT-5.6 Terra measured
Design Arena: SVG	Not measured	1220	Only GPT-5.6 Terra measured
Design Arena: ASCII art	Not measured	1177	Only GPT-5.6 Terra measured
LiveBench design	Not measured	76.0%	Only GPT-5.6 Terra measured

GeneralDirectional onlyPublic boards, shown as published, kept out of the index35 boards, none shared

General benchmarks for Command A+ and GPT-5.6 Terra
Benchmark	Command A+	GPT-5.6 Terra	Leader
LiveBench data analysis	Not measured	79.3%	Only GPT-5.6 Terra measured
Public Benefits Bench (Vals AI)	Not measured	62.4%	Only GPT-5.6 Terra measured
SAGE (Vals AI)	Not measured	47.0%	Only GPT-5.6 Terra measured
MedScribe (Vals AI)	Not measured	82.9%	Only GPT-5.6 Terra measured
Vals Multimodal Index	Not measured	65.1%	Only GPT-5.6 Terra measured
IFBench	Not measured	71.2%	Only GPT-5.6 Terra measured
Long context reasoning (AA-LCR)	Not measured	83.0%	Only GPT-5.6 Terra measured
DTBench	Not measured	93.3%	Only GPT-5.6 Terra measured
LMCA	Not measured	54.9%	Only GPT-5.6 Terra measured
Surface Evolver Bench	Not measured	83.8%	Only GPT-5.6 Terra measured
Furniture assembly	Not measured	54.2%	Only GPT-5.6 Terra measured
LMArena Text	Not measured	1448	Only GPT-5.6 Terra measured
LMArena Text: instruction following	Not measured	1456	Only GPT-5.6 Terra measured
LMArena Text: creative writing	Not measured	1413	Only GPT-5.6 Terra measured
LMArena Vision	Not measured	1271	Only GPT-5.6 Terra measured
LMArena Text: English	Not measured	1449	Only GPT-5.6 Terra measured
LMArena Text: non-English	Not measured	1441	Only GPT-5.6 Terra measured
LMArena Text: Chinese	Not measured	1514	Only GPT-5.6 Terra measured
LMArena Text: German	Not measured	1460	Only GPT-5.6 Terra measured
LMArena Text: Japanese	Not measured	1454	Only GPT-5.6 Terra measured
LMArena Text: Korean	Not measured	1427	Only GPT-5.6 Terra measured
LMArena Text: French	Not measured	1466	Only GPT-5.6 Terra measured
LMArena Text: Spanish	Not measured	1451	Only GPT-5.6 Terra measured
LMArena Text: Russian	Not measured	1452	Only GPT-5.6 Terra measured
LMArena Text: Polish	Not measured	1446	Only GPT-5.6 Terra measured
LMArena Text: multi-turn	Not measured	1453	Only GPT-5.6 Terra measured
LMArena Text: longer queries	Not measured	1454	Only GPT-5.6 Terra measured
LMArena Text: writing and language	Not measured	1431	Only GPT-5.6 Terra measured
LMArena Text: entertainment and media	Not measured	1418	Only GPT-5.6 Terra measured
LMArena Vision: English	Not measured	1272	Only GPT-5.6 Terra measured
LMArena Vision: Chinese	Not measured	1337	Only GPT-5.6 Terra measured
LMArena Vision: reading text	Not measured	1278	Only GPT-5.6 Terra measured
LMArena Vision: humor	Not measured	1236	Only GPT-5.6 Terra measured
LMArena Vision: creative writing	Not measured	1248	Only GPT-5.6 Terra measured
LMArena Document	Not measured	1472	Only GPT-5.6 Terra measured
Neither model has a result on the other 11 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Command A+ and GPT-5.6 Terra
Benchmark	Command A+	GPT-5.6 Terra	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

Command A+$0.0010Fits in one request

GPT-5.6 Terra$0.0080Fits in one request

Command A+ costs less

Repository review

50K input + 3K output tokens

Command A+$0.019Fits in one request

GPT-5.6 Terra$0.136Fits in one request

Command A+ costs less

Agent loop

200K input + 10K output tokens

Command A+$0.075Exceeds the context window

GPT-5.6 Terra$0.520Fits in one request

Command A+ 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 Command A+ and GPT-5.6 Terra
Specification	Cohere Command A+	OpenAI GPT-5.6 Terra
Maker	Cohere	OpenAI
Weights	No public weights listed	No public weights listed
Released	September 22, 2026	July 9, 2026
Context window	192K	1.05M
Input $/Mtok	$0.30	$2.00
Output $/Mtok	$1.50	$12.00
Coding index	Not benchmarked	63.9
Independent measurements behind it	0	6
Cost per solved task	Not computable	$0.42
Source	OpenRouter listing	OpenRouter listing

Questions

Is Command A+ better than GPT-5.6 Terra for coding?

Only GPT-5.6 Terra has a coding score, 63.9 on the Vibe Coding Index; Command A+ has none, so the two cannot be ranked on coding. Command A+ has the edge where output tokens cost 8.0x less.

Which is cheaper, Command A+ or GPT-5.6 Terra?

Command A+ costs $0.30 per million input tokens and $1.50 per million output tokens; GPT-5.6 Terra costs $2.00 and $12.00. Cost per solved task is known for GPT-5.6 Terra only.

Which has the bigger context window, Command A+ or GPT-5.6 Terra?

GPT-5.6 Terra, with 1.05M tokens against 192K.

How many benchmarks is the Command A+ vs GPT-5.6 Terra comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. Command A+'s coding index rests on 0 independent benchmarks and GPT-5.6 Terra's on 6. Where only one model has a result, the page says so instead of naming a winner.

Decision reading

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next