Model
Model explorer

Command A+

OPEN
Cohere · Command A family · released May 20, 2026

Successor to the CC-BY-NC-licensed Command A (Mar 2025), now released fully open-weight under Apache 2.0. First Command model with native image input, expanded from 23 to 48 languages, and large agentic/enterprise gains (tau2-bench-telecom 37%->85%, Terminal-Bench-Hard agentic coding 3%->25%).

ReasoningCodingVisionFunction callingTool useAgentic
1694.5
Elo · rank #119
Parameters
218B
Active params
25B (MoE)
Context
128K tokens
Architecture
Sparse Mixture-of-Experts (218B total / 25B active), hybrid attention, native citation grounding, runs on 1x B200 or 2x H100 (W4A4)
License
Apache 2.0
Languages
48+
API price (in/out)
No hosted API
Modalities
text · vision
Benchmark results
Bar shows position within the tracked field; marker = field best
AIMEMath90.0%#47
best: GPT-5.2 · 100.0%
CharXivVision52.7%#37
best: Qwen3.8-Flash-Next · 90.6%
GPQA DiamondReasoning76.1%#107
best: GPT-6 Astra · 96.0%
Humanity's Last ExamReasoning11.4%#96
best: Claude Opus 5.5 · 67.7%
IFBenchReasoning73.9%#24
best: MiniMax M3 · 83.0%
LiveCodeBenchCoding79.4%#54
best: DeepSeek-V4-Pro (Think Max) · 93.5%
MathVistaVision80.6%#13
best: Seed 2.1 Pro · 90.7%
MMLU-ProKnowledge78.2%#63
best: Claude Fable 5 · 91.5%
MMMU-ProVision63.0%#44
best: Claude Opus 4.7 · 85.5%
MMMUVision75.1%#35
best: Claude Fable 5 · 89.3%
τ²-Bench TelecomAgents85.0%#23
best: Claude Opus 4.6 · 99.3%
Terminal-Bench 2.0Coding17.6%#76
best: DeepSeek-V4.1-Flash · 90.6%
Run it locally
VRAM @ Q4
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VRAM @ FP16
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Fits on (Q4)
Multi-node cluster required
Throughput data unavailable.
Quantizations
—
Fine-tune it
Permissive
QLoRA148.2 GB1× B200 192GB
LoRA464.3 GB4× H200 141GB
Full fine-tune3498.9 GBbeyond 8× B200
QLoRA SFT on ~10k samples ≈ $8.94 (1× B200 192GB)
Command A family
Elo progression across releases
API price weights · each benchmark row carries its own source badge (see methodology)