API cost decision in 10 seconds

NewGrok 4.3 vs Qwen3 VL 235B A22B Instruct

Pick Qwen3 VL 235B A22B Instruct for lower cost; pick Grok 4.3 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 Instruct for lower cost; pick Grok 4.3 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3 VL 235B A22B Instruct is estimated at $0.64 vs $2.5 for Grok 4.3, saving $1.86 (74.4% lower).

Cost-first pickQwen3 VL 235B A22B Instruct
Context-first pickGrok 4.3
Sample savings$1.8674.4%
10x traffic gap$18.6

Grok 4.3 has more context, but Qwen3 VL 235B A22B Instruct saves $1.86 on the standard workload. At 10x that traffic, the same price gap is about $18.6. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3 VL 235B A22B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGrok 4.3Qwen3 VL 235B A22B Instruct
Input-heavy / RAG5M input + 500K outputQwen3 VL 235B A22B Instruct$7.5$1.44
Balanced workload1M input + 1M outputQwen3 VL 235B A22B Instruct$3.75$1.08
Output-heavy chatbot1M input + 5M outputQwen3 VL 235B A22B Instruct$13.75$4.6
Cheaper input Qwen3 VL 235B A22B Instruct $1.25 vs $0.2 / 1M

Qwen3 VL 235B A22B Instruct is $1.05 cheaper per 1M input tokens (84% lower; 6.25x difference).

Cheaper output Qwen3 VL 235B A22B Instruct $2.5 vs $0.88 / 1M

Qwen3 VL 235B A22B Instruct is $1.62 cheaper per 1M output tokens (64.8% lower; 2.84x difference).

Larger context Grok 4.3 1M vs 262.14K

Grok 4.3 has 737.86K more context (3.81x larger).

Sample workload Qwen3 VL 235B A22B Instruct $2.5 vs $0.64

Qwen3 VL 235B A22B Instruct is $1.86 cheaper on the standard workload (74.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Grok 4.3 Calculating… Estimated API cost
Qwen3 VL 235B A22B Instruct 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 Instruct has the lower input price; Qwen3 VL 235B A22B Instruct has the lower output price; Grok 4.3 offers the larger context window. For the 1M input plus 500K output sample, Qwen3 VL 235B A22B Instruct is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.5 for Grok 4.3 and $0.64 for Qwen3 VL 235B A22B Instruct.

Best Fit

Choose Grok 4.3 when you care most about larger context window.

Choose Qwen3 VL 235B A22B Instruct when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3 VL 235B A22B Instruct is estimated at $0.64 vs $2.5 for Grok 4.3, saving $1.86 (74.4% lower).
  • Qwen3 VL 235B A22B Instruct is $1.86 cheaper on the standard workload (74.4% lower).
  • Qwen3 VL 235B A22B Instruct is $1.05 cheaper per 1M input tokens (84% lower; 6.25x difference).
  • Qwen3 VL 235B A22B Instruct is $1.62 cheaper per 1M output tokens (64.8% lower; 2.84x difference).
  • Grok 4.3 has 737.86K more context (3.81x larger).
Head-to-Head Specs
FeatureNewGrok 4.3
(xAI)
Qwen3 VL 235B A22B Instruct
(Qwen)
Input Price
prompt tokens per 1M
$1.25$0.2
Completion Price
per 1M tokens
$2.5$0.88
Sample Workload Cost
1M input + 500K output
$2.5$0.64
Context Window1M262.14K
Release Date
Popularity#50#103

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3 VL 235B A22B InstructOn the standard 1M input plus 500K output workload, Qwen3 VL 235B A22B Instruct is estimated at $0.64 vs $2.5 for Grok 4.3, saving $1.86 (74.4% lower).
High-volume input processingQwen3 VL 235B A22B InstructLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3 VL 235B A22B InstructLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGrok 4.3A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 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

Compare models within provider hubs before choosing a final API vendor.

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xAI catalog

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

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Qwen catalog

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

Open Qwen models
Grok 4.3

Grok 4.3 is a reasoning model from xAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...

Qwen3 VL 235B A22B Instruct

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...