Command A vs Gemini 3.5 Flash

Updated October 21, 2026. 49 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 Gemini 3.5 Flash

Command ACohere

Coding: No data
Overall: 13.1
Output $/M: $10.00

Gemini 3.5 FlashGoogle

Coding: 39.8
Overall: 33.6
Output $/M: $9.00

vs boards won of 49 shared

Decision reading

Only Gemini 3.5 Flash has a coding score, 39.8 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model ACommand ACohereNot benchmarked1 independent benchmark$2.69 per solved task Model BGemini 3.5 FlashGoogle39.8/1004 independent benchmarks$1.21 per solved task

491161

Shared results: 49
Command A only: 11
Gemini 3.5 Flash only: 61
Like-for-like categories: 7 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 Gemini 3.5 Flash has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 33.6 against 13.1.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Command A has a AA Agentic Index result, 1.0.
Directional only
Reasoning
GPQA Diamond
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 92.7% against 48.5%.
Same board, both measured
Math
AIME
No call
Only Command A has a AIME result, 13.3%.
Directional only
Knowledge
MMLU Pro
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 89.5% against 69.2%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Gemini 3.5 Flash has a Design Arena: websites result, 1268.
Directional only
Long documents
Listed context window
Gemini 3.5 Flash
Gemini 3.5 Flash takes 1.05M tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.5 Flash
Command A $0.0075, Gemini 3.5 Flash $0.0060 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 3.5 Flash
Command A $2.69, Gemini 3.5 Flash $1.21.
Published attempt cost and pass rate

At a glance

Coding index: Command A not benchmarked, Gemini 3.5 Flash 39.8 from 4 benchmarks.
Widest category: Coding, 38.6 points apart on average over 7 shared benchmarks.
Widest single gap: SWE-bench Verified (Vals AI): Command A 7.8% against Gemini 3.5 Flash 78.8%, 71.0 points apart on a 0 to 100 scale.
Output price: Command A $10.00 against Gemini 3.5 Flash $9.00 per million output tokens, 1.1x apart.
Context window: Command A takes 256K tokens, Gemini 3.5 Flash 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.

Boards won, where both have a result
Category	Command A	Bars	Gemini 3.5 Flash	Ties
Coding	0		7
Intelligence	0		1
Agentic work	0		2
Reasoning	0		6
Math	0		2
Knowledge	0		9
General	0		22
All shared boards	0		49

CodingLike-for-likeSix of these boards feed the Vibe Coding Index07

Coding benchmarks for Command A and Gemini 3.5 Flash
Benchmark	Command A	Gemini 3.5 Flash	Leader
LMArena WebDev	Not measured	1499	Only Gemini 3.5 Flash measured
AA Coding Index	27.8	Not measured	Only Command A measured
LiveCodeBench (Vals AI)	35.1%	87.6%	Gemini 3.5 Flash
SWE-bench Verified (Vals AI)	7.8%	78.8%	Gemini 3.5 Flash
Terminal-Bench 4 (Vals AI)	Not measured	6.1%	Only Gemini 3.5 Flash measured
Vibe Code Bench (Vals AI)	Not measured	48.7%	Only Gemini 3.5 Flash measured
Code migration (Vals AI)	Not measured	26.8%	Only Gemini 3.5 Flash measured
ProgramBench (Vals AI)	Not measured	0.0%	Only Gemini 3.5 Flash measured
Terminal-Bench 2.1 (Vals AI)	17.6%	74.2%	Gemini 3.5 Flash
SkillsBench (Vals AI)	Not measured	52.7%	Only Gemini 3.5 Flash measured
LiveCodeBench (Artificial Analysis run)	28.7%	Not measured	Only Command A measured
SciCode	38.5%	53.9%	Gemini 3.5 Flash
Terminal-Bench Hard (Artificial Analysis run)	25.0%	46.2%	Gemini 3.5 Flash
WeirdML	Not measured	62.6%	Only Gemini 3.5 Flash measured
ALE-Bench	Not measured	911.0	Only Gemini 3.5 Flash measured
LMArena Text: coding	1330	1493	Gemini 3.5 Flash
LMArena Text: software and IT	1336	1494	Gemini 3.5 Flash
LMArena WebDev: React	Not measured	1495	Only Gemini 3.5 Flash measured
LMArena WebDev: HTML	Not measured	1522	Only Gemini 3.5 Flash measured
LMArena WebDev: from an image	Not measured	1504	Only Gemini 3.5 Flash measured
Neither model has a result on the other 18 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01

Intelligence benchmarks for Command A and Gemini 3.5 Flash
Benchmark	Command A	Gemini 3.5 Flash	Leader
AA Intelligence Index	13.1	33.6	Gemini 3.5 Flash
Epoch Capabilities Index	Not measured	154.9	Only Gemini 3.5 Flash measured

Agentic workLike-for-likePublic boards, shown as published, kept out of the index02

Agentic work benchmarks for Command A and Gemini 3.5 Flash
Benchmark	Command A	Gemini 3.5 Flash	Leader
AA Agentic Index	1.0	Not measured	Only Command A measured
Design Arena: agents building web apps	Not measured	1202	Only Gemini 3.5 Flash measured
Design Arena: agents building full-stack apps	Not measured	1197	Only Gemini 3.5 Flash measured
Design Arena: agents building mobile apps	Not measured	1175	Only Gemini 3.5 Flash measured
Design Arena: agents building Android apps	Not measured	1190	Only Gemini 3.5 Flash measured
Design Arena: agents building Godot games	Not measured	1098	Only Gemini 3.5 Flash measured
Design Arena: agents building games	Not measured	1180	Only Gemini 3.5 Flash measured
Design Arena: HTML slides	Not measured	1142	Only Gemini 3.5 Flash measured
Design Arena: PowerPoint slides	Not measured	1179	Only Gemini 3.5 Flash measured
Finance Agent (Vals AI)	9.0%	57.9%	Gemini 3.5 Flash
Tax Agent Bench (Vals AI)	Not measured	21.6%	Only Gemini 3.5 Flash measured
Legal Research Bench (Vals AI)	Not measured	30.8%	Only Gemini 3.5 Flash measured
Excel Modeling Benchmark (Vals AI)	Not measured	63.5%	Only Gemini 3.5 Flash measured
Terminal-Bench-Science (Vals AI)	Not measured	5.7%	Only Gemini 3.5 Flash measured
τ²-Bench Telecom	80.7%	95.6%	Gemini 3.5 Flash
APEX-Agents	Not measured	27.5%	Only Gemini 3.5 Flash measured
Vending-Bench 2	Not measured	$5,396	Only Gemini 3.5 Flash measured
Neither model has a result on the other 22 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index06

Reasoning benchmarks for Command A and Gemini 3.5 Flash
Benchmark	Command A	Gemini 3.5 Flash	Leader
GPQA Diamond	48.5%	92.7%	Gemini 3.5 Flash
MMMU Pro (Vals AI)	Not measured	88.3%	Only Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)	76.1%	92.2%	Gemini 3.5 Flash
Humanity's Last Exam (Artificial Analysis run)	12.0%	42.7%	Gemini 3.5 Flash
GPQA Diamond (Epoch AI run)	Not measured	92.8%	Only Gemini 3.5 Flash measured
ARC-AGI	Not measured	92.5%	Only Gemini 3.5 Flash measured
ARC-AGI-2	Not measured	72.1%	Only Gemini 3.5 Flash measured
SimpleBench	Not measured	76.7%	Only Gemini 3.5 Flash measured
Chess puzzles	Not measured	45.0%	Only Gemini 3.5 Flash measured
Mystery game puzzles	Not measured	32.0%	Only Gemini 3.5 Flash measured
EBR-bench	Not measured	4.8%	Only Gemini 3.5 Flash measured
LMArena Text: hard prompts	1326	1488	Gemini 3.5 Flash
LMArena Text: expert	1296	1495	Gemini 3.5 Flash
LMArena Text: hard prompts in English	1335	1483	Gemini 3.5 Flash
LMArena Vision: diagrams	Not measured	1323	Only Gemini 3.5 Flash measured
LMArena Vision: homework	Not measured	1330	Only Gemini 3.5 Flash measured
Neither model has a result on the other 5 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index02

Math benchmarks for Command A and Gemini 3.5 Flash
Benchmark	Command A	Gemini 3.5 Flash	Leader
AIME	13.3%	Not measured	Only Command A measured
MATH 500 (Vals AI)	76.2%	Not measured	Only Command A measured
MGSM (Vals AI)	85.7%	Not measured	Only Command A measured
AA Math Index	13.0	Not measured	Only Command A measured
AIME 2025 (Artificial Analysis run)	13.0%	Not measured	Only Command A measured
OTIS Mock AIME	Not measured	95.6%	Only Gemini 3.5 Flash measured
FrontierMath, tiers 1 to 3	Not measured	62.8%	Only Gemini 3.5 Flash measured
FrontierMath, tier 4	Not measured	26.8%	Only Gemini 3.5 Flash measured
ProofBench	Not measured	31.0%	Only Gemini 3.5 Flash measured
LMArena Text: math	1300	1504	Gemini 3.5 Flash
LMArena Text: mathematical work	1312	1495	Gemini 3.5 Flash
Neither model has a result on the other 2 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09

Knowledge benchmarks for Command A and Gemini 3.5 Flash
Benchmark	Command A	Gemini 3.5 Flash	Leader
MMLU Pro	69.2%	89.5%	Gemini 3.5 Flash
LegalBench (Vals AI)	79.7%	83.6%	Gemini 3.5 Flash
CaseLaw (Vals AI)	64.5%	Not measured	Only Command A measured
CorpFin (Vals AI)	46.0%	64.7%	Gemini 3.5 Flash
TaxEval (Vals AI)	61.4%	74.4%	Gemini 3.5 Flash
MortgageTax (Vals AI)	Not measured	68.1%	Only Gemini 3.5 Flash measured
MedQA (Vals AI)	80.5%	Not measured	Only Command A measured
MedCode (Vals AI)	19.7%	55.8%	Gemini 3.5 Flash
MMLU Pro (Artificial Analysis run)	71.2%	Not measured	Only Command A measured
SimpleQA Verified	Not measured	66.2%	Only Gemini 3.5 Flash measured
LMArena Text: science	1339	1495	Gemini 3.5 Flash
LMArena Text: medicine and healthcare	1334	1483	Gemini 3.5 Flash
LMArena Text: legal and government	1348	1488	Gemini 3.5 Flash
LMArena Text: business and finance	1315	1467	Gemini 3.5 Flash
Neither model has a result on the other 3 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared

Web design benchmarks for Command A and Gemini 3.5 Flash
Benchmark	Command A	Gemini 3.5 Flash	Leader
Design Arena: websites	Not measured	1268	Only Gemini 3.5 Flash measured
Design Arena: UI components	Not measured	1273	Only Gemini 3.5 Flash measured
Design Arena: game dev	Not measured	1263	Only Gemini 3.5 Flash measured
Design Arena: data viz	Not measured	1236	Only Gemini 3.5 Flash measured
Design Arena: 3D	Not measured	1244	Only Gemini 3.5 Flash measured
Design Arena: all code categories	Not measured	1266	Only Gemini 3.5 Flash measured
Design Arena: SVG	Not measured	1254	Only Gemini 3.5 Flash measured
Design Arena: ASCII art	Not measured	1254	Only Gemini 3.5 Flash measured
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index022

General benchmarks for Command A and Gemini 3.5 Flash
Benchmark	Command A	Gemini 3.5 Flash	Leader
Public Benefits Bench (Vals AI)	Not measured	59.5%	Only Gemini 3.5 Flash measured
SAGE (Vals AI)	Not measured	49.9%	Only Gemini 3.5 Flash measured
MedScribe (Vals AI)	55.7%	76.6%	Gemini 3.5 Flash
Vals Multimodal Index	Not measured	62.9%	Only Gemini 3.5 Flash measured
IFBench	73.9%	76.3%	Gemini 3.5 Flash
Long context reasoning (AA-LCR)	52.7%	74.3%	Gemini 3.5 Flash
DTBench	61.3%	94.7%	Gemini 3.5 Flash
LMCA	10.3%	47.1%	Gemini 3.5 Flash
Surface Evolver Bench	Not measured	58.1%	Only Gemini 3.5 Flash measured
LMArena Text	1331	1482	Gemini 3.5 Flash
LMArena Text: instruction following	1309	1467	Gemini 3.5 Flash
LMArena Text: creative writing	1319	1470	Gemini 3.5 Flash
LMArena Vision	Not measured	1308	Only Gemini 3.5 Flash measured
LMArena Text: English	1344	1481	Gemini 3.5 Flash
LMArena Text: non-English	1313	1475	Gemini 3.5 Flash
LMArena Text: Chinese	1327	1527	Gemini 3.5 Flash
LMArena Text: German	1342	1494	Gemini 3.5 Flash
LMArena Text: Japanese	1285	1486	Gemini 3.5 Flash
LMArena Text: Korean	1285	1448	Gemini 3.5 Flash
LMArena Text: French	1351	1490	Gemini 3.5 Flash
LMArena Text: Spanish	1347	1480	Gemini 3.5 Flash
LMArena Text: Russian	1314	1493	Gemini 3.5 Flash
LMArena Text: Polish	1324	1516	Gemini 3.5 Flash
LMArena Text: multi-turn	1338	1481	Gemini 3.5 Flash
LMArena Text: longer queries	1334	1483	Gemini 3.5 Flash
LMArena Text: writing and language	1328	1478	Gemini 3.5 Flash
LMArena Text: entertainment and media	1306	1459	Gemini 3.5 Flash
LMArena Vision: English	Not measured	1305	Only Gemini 3.5 Flash measured
LMArena Vision: Chinese	Not measured	1377	Only Gemini 3.5 Flash measured
LMArena Vision: reading text	Not measured	1317	Only Gemini 3.5 Flash measured
LMArena Vision: humor	Not measured	1321	Only Gemini 3.5 Flash measured
LMArena Vision: creative writing	Not measured	1301	Only Gemini 3.5 Flash measured
LMArena Document	Not measured	1463	Only Gemini 3.5 Flash measured
Neither model has a result on the other 13 boards here

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

Image generation benchmarks for Command A and Gemini 3.5 Flash
Benchmark	Command A	Gemini 3.5 Flash	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$0.0075Fits in one request

Gemini 3.5 Flash$0.0060Fits in one request

Gemini 3.5 Flash costs less

Repository review

50K input + 3K output tokens

Command A$0.155Fits in one request

Gemini 3.5 Flash$0.102Fits in one request

Gemini 3.5 Flash costs less

Agent loop

200K input + 10K output tokens

Command A$0.600Fits in one request

Gemini 3.5 Flash$0.390Fits in one request

Gemini 3.5 Flash 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 Gemini 3.5 Flash
Specification	Cohere Command A	Google Gemini 3.5 Flash
Maker	Cohere	Google
Weights	Open weights	No public weights listed
Released	March 13, 2025	May 19, 2026
Context window	256K	1.05M
Input $/Mtok	$2.50	$1.50
Output $/Mtok	$10.00	$9.00
Coding index	Not benchmarked	39.8
Independent measurements behind it	1	4
Cost per solved task	$2.69	$1.21
Source	OpenRouter listing	OpenRouter listing

Questions

Is Command A better than Gemini 3.5 Flash for coding?

Only Gemini 3.5 Flash has a coding score, 39.8 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Command A or Gemini 3.5 Flash?

Command A costs $2.50 per million input tokens and $10.00 per million output tokens; Gemini 3.5 Flash costs $1.50 and $9.00. Per solved SWE-bench Verified task, Command A costs $2.69 and Gemini 3.5 Flash $1.21.

Which has the bigger context window, Command A or Gemini 3.5 Flash?

Gemini 3.5 Flash, with 1.05M tokens against 256K.

How many benchmarks is the Command A vs Gemini 3.5 Flash comparison based on?

49 benchmarks have a result for both models as of October 21, 2026. Command A's coding index rests on 1 independent benchmark and Gemini 3.5 Flash's on 4. 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

Math

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

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