Model comparison
Cohere Command A+ vs MiniMax M2.5
Cohere against MiniMax, compared on context, price, and verified benchmark results.
Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below
Cohere
Cohere Command A+
Balanced · Open weights
MiniMax
MiniMax M2.5
Balanced · Open weights
| Specification | Cohere Command A+ | MiniMax M2.5 |
|---|---|---|
| Provider | ||
| Provider | Cohere | MiniMax |
| Tier | ||
| Tier | Balanced | Balanced |
| Context window | ||
| Context window | 128K | Winner: 205K |
| Max output | ||
| Max output | 64K | Not verifiedUnverified |
| Input / 1M tokens | ||
| Input / 1M tokens | $0.80 | Winner: $0.30 |
| Output / 1M tokens | ||
| Output / 1M tokens | $3.20 | Winner: $1.20 |
| Weights | ||
| Weights | Open | Open |
| Parameters | ||
| Parameters | 218B total / 25B active (sparse MoE) | open MoE |
| Reasoning levels | ||
| Reasoning levels | low, medium, high | low, high, max |
| Modalities | ||
| Modalities | text, image | text |
| License | ||
| License | Apache 2.0 | Not disclosedUnverified |
| API model id | ||
| API model id | command-a-plus-05-2026 | Not publishedUnverified |
| Released | ||
| Released | May 20, 2026 | February 12, 2026 |
| Artificial Analysis Intelligence Index (2026-09-26) | ||
| Artificial Analysis Intelligence Index (2026-09-26) | 13.1 | Winner: 22.8 |
Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
Where each score comes from, and how far it can be compared across models.
- 2026-09-26Artificial Analysis (AA-estimated)
Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.
Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.
Pricing tiers
Cohere Command A+: Azure-hosted Global rate $0.80/$3.20 per MTok (effective 2026-07-01; Data Zone $0.88/$3.52). Cohere-direct publishes no per-token price: open weights (Apache 2.0), a free rate-limited trial API, and Model Vault/enterprise licensing. Cohere calls it the last model in the Command A family. 218B/25B active sparse MoE.
MiniMax M2.5: $0.30/$1.20 per MTok on MiniMax's pay-as-you-go API (cache read $0.03). MiniMax lists M2.5 as a legacy model. Open weights (community license).
Cohere Command A+
Command A+ is Cohere's open-weight (Apache 2.0) 218B/25B sparse MoE for enterprise use.
Best for
- Open-weight deployments
- Enterprise RAG
- Tool use
Watch out
The $0.80/$3.20 figure is the Azure-hosted rate, not a Cohere-direct price — Cohere itself sells licenses and a free rate-limited trial, so budget by deployment path.
MiniMax M2.5
MiniMax M2.5 is a legacy open-weight MiniMax MoE with a 204,800-token context.
Best for
- Open-weight deployments
- Multimodal
Watch out
Legacy: MiniMax's current models are M3 (1M context, multimodal) and M2.7 at the same $0.30/$1.20 price.
When the cheaper one wins
MiniMax M2.5 is cheaper on output at $1.20 per million tokens against $3.20 for Cohere Command A+ — about 2.7×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.
Run the model pickerEvidence confidence: High
How strong and complete the evidence behind this comparison is — not a prediction of which model is better.
- Pricing verified on both sides — Input and output rates are verified for both models.
- 4/5 core specs verified on both sides — Not published for at least one side: max output.
- 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
- Verified within the last 90 days — Newest catalog check was 2 days ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- Cohere Command A+: Azure Retail Prices API (Command A Plus Global $0.80/$3.20) (accessed 2026-09-04)
- Cohere Command A+: AzureSpeed — AI model pricing tracker (same figures) (accessed 2026-09-04)
- Cohere Command A+: Cohere — pricing (no per-token price for current Command generation) (accessed 2026-09-04)
- Cohere Command A+: Cohere docs — Command A+ (model id, 128K/64K, text+image input) (accessed 2026-09-26)
- MiniMax M2.5: MiniMax — M2.5 (accessed 2026-08-29)
- MiniMax M2.5: MiniMax — text generation guide (M2.5 204,800 context) (accessed 2026-09-26)
- MiniMax M2.5: MiniMax pay-as-you-go pricing (M2.5 $0.30/$1.20, legacy) (accessed 2026-09-26)
- MiniMax M2.5: MiniMax — M2.5 release (2026-02-12) (accessed 2026-09-26)
Related comparisons
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Diving deeper on one model? Cohere Command A+ · MiniMax M2.5
Common questions
Cohere Command A+ vs MiniMax M2.5
Answered from the verified figures on this page rather than general guidance.
Is Cohere Command A+ or MiniMax M2.5 cheaper for input?
Is Cohere Command A+ or MiniMax M2.5 cheaper for output?
Which has the larger context window, Cohere Command A+ or MiniMax M2.5?
Do Cohere Command A+ and MiniMax M2.5 support the same reasoning levels?
Should I use Cohere Command A+ or MiniMax M2.5?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: MiniMax M2.5 costs $0.30 per 1M tokens versus $0.80 for Cohere Command A+ — a 2.7x difference at the headline tier.
- Context: MiniMax M2.5 takes 205K against 128K for Cohere Command A+ — only decisive if your prompts approach the smaller window.
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.