Neither wins outright: Cohere: Command A+ is the pick when you need to fit long inputs in one request, LiquidAI: LFM2.5-2.6B when cost matters at scale.
| Spec | Cohere: Command A+ | LiquidAI: LFM2.5-2.6B |
|---|---|---|
| Provider | Cohere | Liquid |
| Input price (per 1M tokens) | $0.30 | $0.35 |
| Output price (per 1M tokens) | $1.50 | $0.50 |
| Blended price (3:1 input/output) | $0.60 | $0.39 |
| Cheaper than … of all models we track | 49% | 58% |
| Context window | 192K tokens (~288 pages) | 128K tokens (~192 pages) |
| Larger context than … of all models | 37% | 14% |
| Max output per response | 64K tokens (~48,000 words) | 8K tokens (~6,100 words) |
| Input types | text, image | text |
| Output types | text | text |
| Free variant | No | Yes |
| Listed since | 2026-09-22 | 2026-08-11 |
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
| Workload (per month) | Cohere: Command A+ | LiquidAI: LFM2.5-2.6B | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $52.50 | $36.25 | LiquidAI: LFM2.5-2.6B saves $16.25 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $51.00 | $47.00 | LiquidAI: LFM2.5-2.6B saves $4.00 |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens) | $54.00 | $48.00 | LiquidAI: LFM2.5-2.6B saves $6.00 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $33.00 | $31.00 | LiquidAI: LFM2.5-2.6B saves $2.00 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $16.50 | $18.00 | Cohere: Command A+ saves $1.50 |
| Capability | Cohere: Command A+ | LiquidAI: LFM2.5-2.6B | What it lets you do |
|---|---|---|---|
| Tool / function calling | ✓ Yes | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | ✓ Yes | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | ✓ Yes | — | read screenshots, charts and scanned pages |
| Audio input | — | — | take speech or audio directly |
| File / PDF input | — | — | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | — | — | answer from live web results |
| Seed (reproducible sampling) | ✓ Yes | ✓ Yes | repeat a generation for tests and evals |
| Log-probabilities | — | ✓ Yes | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Neither wins outright: Cohere: Command A+ is the pick when you need to fit long inputs in one request, LiquidAI: LFM2.5-2.6B when cost matters at scale. In short: Cohere: Command A+ when you need to fit long inputs in one request, you need image input, you generate long outputs in one go; LiquidAI: LFM2.5-2.6B when cost matters at scale, you need log-probabilities, you want to prototype at zero cost.
LiquidAI: LFM2.5-2.6B is cheaper: $0.39 vs $0.60 per 1M tokens at a typical 3:1 input/output mix, 35% less. For 50,000 support conversations a month that is $36.25 against $52.50.
Cohere: Command A+ costs $0.30 per 1M input tokens and $1.50 per 1M output tokens; LiquidAI: LFM2.5-2.6B costs $0.35 input and $0.50 output. Output tokens are billed separately, so long answers shift the gap.
Cohere: Command A+: 192K tokens, about 288 pages, against 128K (about 192 pages) for LiquidAI: LFM2.5-2.6B.
Tool calling — Cohere: Command A+: yes, LiquidAI: LFM2.5-2.6B: yes. JSON-schema structured output — Cohere: Command A+: yes, LiquidAI: LFM2.5-2.6B: yes.
Only Cohere: Command A+ accepts image input; LiquidAI: LFM2.5-2.6B is text-only for input.
LiquidAI: LFM2.5-2.6B has a free variant (liquid/lfm-2.5-2.6b:free). Free variants usually carry tighter rate limits.
Cohere: Command A+ can write up to 64K tokens (about 48,000 words) per response; LiquidAI: LFM2.5-2.6B up to 8K (about 6,100 words).
Cohere: Command A+ was listed on 2026-09-22; LiquidAI: LFM2.5-2.6B on 2026-08-11.
Command A+ is Cohere's flagship model for enterprise agentic workflows. It accepts text and image inputs with a 192K context window, supports native tool calling with strict tool schemas, structured...
Full Cohere: Command A+ specs →LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
Full LiquidAI: LFM2.5-2.6B specs →