Data as of November 13, 2026 · How the score is built
Decision readingCommand A+ scores 28.6 out of 100 and ranks #189 of 215. This profile shows 5 source-displayable benchmark rows; its strongest eligible category is Instruction Following at #26. API pricing is $2.5 input and $10 output per million tokens.
Email me when its price, rank or availability changes.
Capability
28.6/100
field median 49.4#189 of 215 ranked models
Public
#189of 215
Verified —
Price
$2.50input / $10 output
input median $0.60blended $6.25
Speed
152tok/s
field median 92 tok/sFirst token 13.64 s
Context
128Ktokens
field median 256,000Reported for this model; direct source link not stored
Decision snapshot
Where this model sits in the ranked field, its strongest published evidence, and what to validate before choosing it. The marker compares it with the current ranked catalog, not with an absolute quality threshold.
Strongest published evidence
Instruction Following ranks #26. A well-rounded choice across a range of tasks.
Validate before choosing
5 published rows leave some tracked benchmark slots empty. Knowledge is its lowest eligible category at #164.
Source-linked · 5 displayable benchmark rows
Is Command A+ right for your job?
Its place on the LLM Selector’s job rankings, the same order the job pages publish. Describe your own job to see where it stands for that.
Where Command A+ ranks by benchmark score:
We keep what you type here, drafts included, for 180 days, and after that only the job and requirements read from it. Nothing is tied to your IP address or account. Leave out names and other personal details. Privacy
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #130 of 135Percentile 4thWeight 22%2 benchmarksVerified | 13.6 | 2 benchmarks | Verified | |||
| CodingRank #149 of 162Percentile 8thWeight 20%Not listedUnlisted sources | 15.7 | Not listed | Unlisted sources | |||
| ReasoningRank #149 of 160Percentile 7thWeight 17%Not listedUnlisted sources | 20.7 | Not listed | Unlisted sources | |||
| MultimodalRank #66 of 67Percentile 2ndWeight 12%3 benchmarksVerified | 33.3 | 3 benchmarks | Verified | |||
| KnowledgeRank #164 of 180Percentile 9thWeight 12%Not listedUnlisted sources | 26.7 | Not listed | Unlisted sources | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingRank #26 of 157Percentile 84thWeight 5%Not listedUnlisted sources | 90.7 | Not listed | Unlisted sources | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
5 of 919 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic2/2 verified
- CodingNot measured
- ReasoningNot measured
- Multimodal3/3 verified
- KnowledgeNot measured
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
Command A+ category percentile values
- Agentic4th percentile
- Coding8th percentile
- Reasoning7th percentile
- Multimodal2nd percentile
- Knowledge9th percentile
- MultilingualNot eligible
- Instruction following84th percentile
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#130/135
- Coding#149/162
- Reasoning#149/160
- Multimodal#66/67
- Knowledge#164/180
- MultilingualNot ranked
- Inst. Following#26/157
- MathNot ranked
Benchmark ledger
Every result says who ran the test. For this model, Cohere ran 4 of 5. Agentic opens by default. The tick marks the best source-verified result in the catalog; provisional leaders do not set the reference.
Agentic2 rows
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | 17.6% | Best verified: Claude Opus 5.5 · 87.6% | Gap70 behind | Independent run: Vals AI | Counts4% ref. weight |
| τ²-bench resultsτ²-Bench Tool-Agent-User Evaluation | 85% | Best verified: GPT-5.4 · 98.9% | Gap13.9 behind | Reported by Cohere | Shown only |
Multimodal3 rows
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| MMMU-ProMassive Multi-discipline Multimodal Understanding Pro | 63% | Best verified: GPT-6.1 Terra · 85.5% | Gap22.5 behind | Reported by Cohere | Counts30% ref. weight |
| CharXivCharXiv Reasoning | 52.7% | Best verified: Qwen3.8 Max · 93.5% | Gap40.8 behind | Reported by Cohere | Counts17% ref. weight |
| MMMUMassive Multi-discipline Multimodal Understanding | 75.1% | Best verified: Qwen3.5 397B · 85.0% | Gap9.9 behind | Reported by Cohere | Shown only |
Outlined bars are lab-reported. Filled bars are benchmark-run or independent. Bars run 0–100; the dark tick marks the best source-verified value.
What it costs to get this score
Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.
Command A+ · 28.6 score · $6.25 blended per million tokens
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Horizontal: blended price per million tokens, log scale · Vertical: public score
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Plus
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not published
- Context window
- 128K
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- text, imagecommand-a-plus-05-2026-bf16 model card
- Output modalities
- textcommand-a-plus-05-2026-bf16 model card
- Parameters
- Not sourced yet
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing record
- Self-host
- Command A+ needs ~160GB VRAM (2× NVIDIA H100 (80GB)).
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
Command A+ ranks #189 of 215 on the public leaderboard with a score of 28.62/100. It does not yet have enough sourced coverage for a verified position.
Command A+ is a open weight model with a 128K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
5 of 919 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Instruction Following at #26, while its lowest eligible position is Knowledge at #164. a well-rounded choice across a range of tasks.
Last updated November 13, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Where to run Command A+ by API
OpenRouter is the one host we track that publishes a per-token price for it. Prices read from each host’s own pages on November 11, 2026.
| Host | Input /1M | Output /1M | Cached /1M | Context |
|---|---|---|---|---|
| OpenRouter | $0.30 | $1.50 | $0.15 | 192K |
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
Questions
How does Command A+ perform overall in AI benchmarks?
Command A+ ranks #189 out of 215 models on the public BenchAlign leaderboard, with a score of 28.62/100. Its evidence status is Estimated, and this profile shows 5 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Command A+ good for agentic tool use and computer tasks?
Command A+ ranks #130 out of 135 eligible models for agentic tool use and computer tasks, with a public category score of 13.6/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Command A+ good for multimodal and grounded tasks?
Command A+ ranks #66 out of 67 eligible models for multimodal and grounded tasks, with a public category score of 33.3/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Command A+ open source?
Command A+ is an open-weight model from Cohere. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Does Command A+ have full benchmark coverage on BenchLM?
No. Command A+ currently has 20 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Command A+?
Command A+ has a reported context window of 128K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.