API cost decision in 10 seconds

Qwen3 VL 235B A22B Thinking vs Kimi K2 Thinking

Pick Qwen3 VL 235B A22B Thinking for lower cost; pick Kimi K2 Thinking only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3 VL 235B A22B Thinking for lower cost; pick Kimi K2 Thinking only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3 VL 235B A22B Thinking is estimated at $1.56 vs $1.85 for Kimi K2 Thinking, saving $0.29 (15.7% lower).

Cost-first pickQwen3 VL 235B A22B Thinking
Context-first pickKimi K2 Thinking
Sample savings$0.2915.7%
10x traffic gap$2.9

Kimi K2 Thinking has more context, but Qwen3 VL 235B A22B Thinking saves $0.29 on the standard workload. At 10x that traffic, the same price gap is about $2.9. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Qwen3 VL 235B A22B Thinking, balanced workload favors Qwen3 VL 235B A22B Thinking, and output-heavy chatbot favors Kimi K2 Thinking.

Workload shapeToken mixBetter pickQwen3 VL 235B A22B ThinkingKimi K2 Thinking
Input-heavy / RAG5M input + 500K outputQwen3 VL 235B A22B Thinking$2.6$4.25
Balanced workload1M input + 1M outputQwen3 VL 235B A22B Thinking$2.86$3.1
Output-heavy chatbot1M input + 5M outputKimi K2 Thinking$13.26$13.1
Cheaper input Qwen3 VL 235B A22B Thinking $0.26 vs $0.6 / 1M

Qwen3 VL 235B A22B Thinking is $0.34 cheaper per 1M input tokens (56.7% lower; 2.31x difference).

Cheaper output Kimi K2 Thinking $2.6 vs $2.5 / 1M

Kimi K2 Thinking is $0.1 cheaper per 1M output tokens (3.8% lower; 1.04x difference).

Larger context Kimi K2 Thinking 131.07K vs 262.14K

Kimi K2 Thinking has 131.07K more context (2x larger).

Sample workload Qwen3 VL 235B A22B Thinking $1.56 vs $1.85

Qwen3 VL 235B A22B Thinking is $0.29 cheaper on the standard workload (15.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3 VL 235B A22B Thinking Calculating… Estimated API cost
Kimi K2 Thinking Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Qwen3 VL 235B A22B Thinking has the lower input price; Kimi K2 Thinking has the lower output price; Kimi K2 Thinking offers the larger context window. For the 1M input plus 500K output sample, Qwen3 VL 235B A22B Thinking is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.56 for Qwen3 VL 235B A22B Thinking and $1.85 for Kimi K2 Thinking.

Best Fit

Choose Qwen3 VL 235B A22B Thinking when you care most about lower input-token price.

Choose Kimi K2 Thinking when you care most about lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3 VL 235B A22B Thinking is estimated at $1.56 vs $1.85 for Kimi K2 Thinking, saving $0.29 (15.7% lower).
  • Qwen3 VL 235B A22B Thinking is $0.29 cheaper on the standard workload (15.7% lower).
  • Qwen3 VL 235B A22B Thinking is $0.34 cheaper per 1M input tokens (56.7% lower; 2.31x difference).
  • Kimi K2 Thinking is $0.1 cheaper per 1M output tokens (3.8% lower; 1.04x difference).
  • Kimi K2 Thinking has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureQwen3 VL 235B A22B Thinking
(Qwen)		Kimi K2 Thinking
(MoonshotAI)
Input Price
prompt tokens per 1M		$0.26$0.6
Completion Price
per 1M tokens		$2.6$2.5
Sample Workload Cost
1M input + 500K output		$1.56$1.85
Context Window131.07K262.14K
Release Date
Popularity#103#144

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3 VL 235B A22B ThinkingOn the standard 1M input plus 500K output workload, Qwen3 VL 235B A22B Thinking is estimated at $1.56 vs $1.85 for Kimi K2 Thinking, saving $0.29 (15.7% lower).
High-volume input processingQwen3 VL 235B A22B ThinkingLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsKimi K2 ThinkingLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workKimi K2 ThinkingA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 VL 235B A22B Thinking when lower sample workload cost matters most: $0.
  • Qwen3 Coder 480B A35B (free) can replace Qwen3 VL 235B A22B Thinking when lower sample workload cost matters most: $0.
  • Qwen2.5 7B Instruct can replace Qwen3 VL 235B A22B Thinking when lower sample workload cost matters most: $0.09.
  • Qwen3.5-9B can replace Qwen3 VL 235B A22B Thinking when lower sample workload cost matters most: $0.11.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 sample workload cost.
  • MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

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Qwen catalog

Review all tracked Qwen models before deciding whether this matchup is the right shortlist.

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MoonshotAI catalog

Check other MoonshotAI models with comparable pricing, context, or release timing.

Open MoonshotAI models
Qwen3 VL 235B A22B Thinking

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....

Kimi K2 Thinking

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...