Model profile
Cohere

Cohere: Command A

Cohere: Command A is a mid-range-priced text-first model from Cohere with balanced runtime profile, large context posture, and the clearest fit around long-context research / agent workflows.

Best for: Long-context research / Agent workflowsBalanced latencyLarge contextMid-range pricing
Intelligence
13.5

Benchmark blend

Coding
9.9

Dev workflow signal

Context
256K Tokens

Large

Input Price
$2.50

Mid-range tier

Decision snapshot
41

Cohere: Command A currently reads as a mid-range text-first option with large context and a balanced runtime profile.

Overall profile
Use-case specific
Best for
Long-context research / Agent workflows
Latency tier
Balanced
Price tier
Mid-range
Source coverage
OpenRouterArtificial Analysis

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
13.5
14

General reasoning and benchmark headroom.

Limited
Speed
36 tok/s
60

TTFT 0.56s

Competitive
Context
256K Tokens
88

How much prompt and task state can stay in view.

Above average
Price
$2.50
62

$10.00 output / 1M

Competitive

Editorial Profile

Cohere: Command A in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Use-case specificCoding score 10Math score 13

Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary...

Identity

Cohere text-first profile

Positioning

Long-context research / Agent workflows with large context and balanced runtime.

Cost posture

Balanced spend profile. Easier to justify in mixed production and exploration workloads.

Strengths
  • Large context headroom supports repo-wide prompts and long research sessions.

Tradeoffs
  • Costs look manageable, but still deserve attention in always-on agents or batch jobs.

  • Latency is balanced rather than ultra-fast, which is fine for most workflows but not the snappiest tier.

  • Current metadata points to a text-first profile rather than a broad multimodal one.

Best fit
  • Long-context summarization, repo analysis, and policy or document review.

Explore Next

Similar profiles worth opening next

Cohere

Command-R+ (Apr '24)

Intelligence
8.3
Context
N/A
Input Price
$3.00
Cohere

Command-R (Mar '24)

Intelligence
7.4
Context
N/A
Input Price
$0.50
Cohere

Tiny Aya Global

Intelligence
4.7
Context
N/A
Input Price
$0.00

Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
13.5
MMLU Pro
71.2%
GPQA
52.7%
HLE
4.6%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
9.9
LiveCodeBench
0.287
SciCode
28.1%
Math

Formal reasoning, structured problem solving, and competition-style math.

Math Index
13.0
AIME
9.7%
AIME 2025
13.0%
Math 500
81.9%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
36.5%
TAU2
15.2%
TerminalBench Hard
0.8%
LCR
18.0%

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
256K Tokens
Vision
Text-first
Modalities
text
Tokenizer
Other
Max Completion
8192
Moderation
Yes
Supported Parameters
frequency_penaltymax_tokenspresence_penaltyresponse_formatseedstopstructured_outputstemperaturetop_ktop_p
Input Modalities
text
Output Modalities
text
Price architecture
Input
per 1M input tokens
$2.50
Output
per 1M output tokens
$10.00
Blended
AA 3:1 mix
$4.38

This model sits in a balanced spend range. It is easier to justify across both production and exploratory workflows.

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.