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Model comparison

Cohere Command A+ vs Qwen3-235B-A22B

Cohere against Qwen, 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

vs

Qwen

Qwen3-235B-A22B

Balanced · Open weights

AI model capability comparison
SpecificationCohere Command A+Qwen3-235B-A22B
ProviderCohereQwen
TierBalancedBalanced
Context window128K128K
Max outputWinner: 64K33K
Input / 1M tokens$0.80Winner: $0.70
Output / 1M tokens$3.20Winner: $2.80
WeightsOpenOpen
Parameters218B total / 25B active (sparse MoE)235B total / 22B active (MoE)
Reasoning levelslow, medium, highlow, high, max
Modalitiestext, imagetext
LicenseApache 2.0Apache 2.0
API model idcommand-a-plus-05-2026qwen3-235b-a22b
ReleasedMay 20, 2026April 29, 2025
Artificial Analysis Intelligence Index (2026-09-26)Winner: 13.19.5

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.

  • 2026-09-26
    Artificial Analysis (Reasoning, 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.

Qwen3-235B-A22B: Model Studio International $0.70 input / $2.80 output per MTok (non-thinking); thinking-mode output $8.40. Open weights (Apache 2.0) for self-hosting; 32,768-token recommended output.

BalancedOpen weightsRecord checked September 26, 2026

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.

BalancedOpen weightsRecord checked September 26, 2026

Qwen3-235B-A22B

Qwen3-235B-A22B is Alibaba's widely deployed open-weight MoE — 235B/22B, strong price-performance.

Best for

  • Open-weight deployments
  • Self-hosting
  • Multilingual

Watch out

Needs multi-GPU for the 235B total; hosted rates vary.

When the cheaper one wins

Qwen3-235B-A22B is cheaper on output at $2.80 per million tokens against $3.20 for Cohere Command A+ — about 1.1×. 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.

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Evidence 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.
  • 5/5 core specs verified on both sides — All core specifications verified for both models.
  • 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.

Related comparisons

Diving deeper on one model? Cohere Command A+ · Qwen3-235B-A22B

Common questions

Cohere Command A+ vs Qwen3-235B-A22B

Answered from the verified figures on this page rather than general guidance.

Is Cohere Command A+ or Qwen3-235B-A22B cheaper for input?
Qwen3-235B-A22B is cheaper at $0.70 per million input tokens, against $0.80 for Cohere Command A+ — roughly 1.1× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Cohere Command A+ has tiered pricing: 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. Qwen3-235B-A22B has tiered pricing: Model Studio International $0.70 input / $2.80 output per MTok (non-thinking); thinking-mode output $8.40. Open weights (Apache 2.0) for self-hosting; 32,768-token recommended output.
Is Cohere Command A+ or Qwen3-235B-A22B cheaper for output?
Qwen3-235B-A22B is cheaper at $2.80 per million output tokens, against $3.20 for Cohere Command A+ — roughly 1.1× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Cohere Command A+ has tiered pricing: 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. Qwen3-235B-A22B has tiered pricing: Model Studio International $0.70 input / $2.80 output per MTok (non-thinking); thinking-mode output $8.40. Open weights (Apache 2.0) for self-hosting; 32,768-token recommended output.
Which has the larger context window, Cohere Command A+ or Qwen3-235B-A22B?
Both accept about 128K tokens of context, so document length will not decide between them.
Do Cohere Command A+ and Qwen3-235B-A22B support the same reasoning levels?
Cohere Command A+ exposes low, medium, high, while Qwen3-235B-A22B exposes low, high, max.
Should I use Cohere Command A+ or Qwen3-235B-A22B?
Both sit in the balanced tier, so the choice usually comes down to price and context rather than capability. Cohere Command A+ suits open-weight deployments; Qwen3-235B-A22B suits open-weight deployments.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Input price: Qwen3-235B-A22B costs $0.70 per 1M tokens versus $0.80 for Cohere Command A+ — a 1.1x difference at the headline tier.
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