Model comparison
Cohere Command A+ vs Kimi K2.7 Code
Cohere against Moonshot AI, 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
Moonshot AI
Kimi K2.7 Code
Balanced · Open weights
| Specification | Cohere Command A+ | Kimi K2.7 Code |
|---|---|---|
| Provider | ||
| Provider | Cohere | Moonshot AI |
| Tier | ||
| Tier | Balanced | Balanced |
| Context window | ||
| Context window | 128K | Winner: 262K |
| Max output | ||
| Max output | 64K | Not verifiedUnverified |
| Input / 1M tokens | ||
| Input / 1M tokens | Winner: $0.80 | $0.95 |
| Output / 1M tokens | ||
| Output / 1M tokens | Winner: $3.20 | $4 |
| Weights | ||
| Weights | Open | Open |
| Parameters | ||
| Parameters | 218B total / 25B active (sparse MoE) | 1T total / 32B active (MoE) |
| Reasoning levels | ||
| Reasoning levels | low, medium, high | Not verifiedUnverified |
| Modalities | ||
| Modalities | text, image | text, image, video |
| License | ||
| License | Apache 2.0 | Modified MIT |
| API model id | ||
| API model id | command-a-plus-05-2026 | kimi-k2.7-code |
| Released | ||
| Released | May 20, 2026 | June 12, 2026 |
| Artificial Analysis Intelligence Index (2026-09-26) | ||
| Artificial Analysis Intelligence Index (2026-09-26) | 13.1 | Winner: 25.8 |
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
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.
Kimi K2.7 Code: $0.95/$4.00 per MTok — same rates as K2.6; cached input $0.19. Coding-focused build of the K2.6 recipe (1T total / 32B active).
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.
Kimi K2.7 Code
Kimi K2.7 Code is Moonshot's coding-specialised build of K2.6 — same 1T MoE and 256K context, tuned for agentic coding workflows.
Best for
- Agentic coding on open weights
- Kimi ecosystem teams
- Repo-scale refactors at K2.6 rates
Watch out
256K context matches K2.6, not K3's 1M; appears on the DeepSWE and CursorBench boards at mid-table scores.
When the cheaper one wins
Cohere Command A+ is cheaper on output at $3.20 per million tokens against $4 for Kimi K2.7 Code — about 1.3×. 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.
- 3/5 core specs verified on both sides — Not published for at least one side: max output, reasoning levels.
- 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)
- Kimi K2.7 Code: Kimi K2.7 Code model page (accessed 2026-08-29)
- Kimi K2.7 Code: Moonshot platform — K2.7 Code pricing (accessed 2026-08-29)
- Kimi K2.7 Code: Kimi — K2.7 Code released and open-sourced (2026-06-12) (accessed 2026-09-26)
- Kimi K2.7 Code: Cloudflare Workers AI changelog — Kimi K2.7 Code (2026-06-12) (accessed 2026-09-26)
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Diving deeper on one model? Cohere Command A+ · Kimi K2.7 Code
Common questions
Cohere Command A+ vs Kimi K2.7 Code
Answered from the verified figures on this page rather than general guidance.
Is Cohere Command A+ or Kimi K2.7 Code cheaper for input?
Is Cohere Command A+ or Kimi K2.7 Code cheaper for output?
Which has the larger context window, Cohere Command A+ or Kimi K2.7 Code?
Should I use Cohere Command A+ or Kimi K2.7 Code?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: Cohere Command A+ costs $0.80 per 1M tokens versus $0.95 for Kimi K2.7 Code — a 1.2x difference at the headline tier.
- Context: Kimi K2.7 Code takes 262K against 128K for Cohere Command A+ — only decisive if your prompts approach the smaller window.
- Measured capability: Kimi K2.7 Code leads Artificial Analysis Intelligence Index 25.8 to 13.1 (measured 2026-09-26).
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.