API cost decision in 10 seconds

Qwen3 235B A22B Instruct 2507 vs NewGrok 4.3

Pick Qwen3 235B A22B Instruct 2507 for lower cost; pick Grok 4.3 only if the larger context window matters more.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T19:08:13Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3 235B A22B Instruct 2507 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 235B A22B Instruct 2507 is estimated at $0.12 vs $2.5 for Grok 4.3, saving $2.38 (95.2% lower).

Cost-first pickQwen3 235B A22B Instruct 2507

Context-first pickGrok 4.3

Sample savings$2.3895.2%

10x traffic gap$23.79

Grok 4.3 has more context, but Qwen3 235B A22B Instruct 2507 saves $2.38 on the standard workload. At 10x that traffic, the same price gap is about $23.79. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3 235B A22B Instruct 2507 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Qwen3 235B A22B Instruct 2507	Grok 4.3
Input-heavy / RAG	5M input + 500K output	Qwen3 235B A22B Instruct 2507	$0.4	$7.5
Balanced workload	1M input + 1M output	Qwen3 235B A22B Instruct 2507	$0.17	$3.75
Output-heavy chatbot	1M input + 5M output	Qwen3 235B A22B Instruct 2507	$0.57	$13.75

Cheaper input Qwen3 235B A22B Instruct 2507 $0.071 vs $1.25 / 1M

Qwen3 235B A22B Instruct 2507 is $1.18 cheaper per 1M input tokens (94.3% lower; 17.6x difference).

Cheaper output Qwen3 235B A22B Instruct 2507 $0.1 vs $2.5 / 1M

Qwen3 235B A22B Instruct 2507 is $2.4 cheaper per 1M output tokens (96% lower; 25x difference).

Larger context Grok 4.3 262.14K vs 1M

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

Sample workload Qwen3 235B A22B Instruct 2507 $0.12 vs $2.5

Qwen3 235B A22B Instruct 2507 is $2.38 cheaper on the standard workload (95.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Qwen3 235B A22B Instruct 2507 Calculating… Estimated API cost

Grok 4.3 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 235B A22B Instruct 2507 has the lower input price; Qwen3 235B A22B Instruct 2507 has the lower output price; Grok 4.3 offers the larger context window. For the 1M input plus 500K output sample, Qwen3 235B A22B Instruct 2507 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.12 for Qwen3 235B A22B Instruct 2507 and $2.5 for Grok 4.3.

Best Fit

Choose Qwen3 235B A22B Instruct 2507 when you care most about lower input-token price, and lower output-token price.

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

Decision Notes

On the standard 1M input plus 500K output workload, Qwen3 235B A22B Instruct 2507 is estimated at $0.12 vs $2.5 for Grok 4.3, saving $2.38 (95.2% lower).
Qwen3 235B A22B Instruct 2507 is $2.38 cheaper on the standard workload (95.2% lower).
Qwen3 235B A22B Instruct 2507 is $1.18 cheaper per 1M input tokens (94.3% lower; 17.6x difference).
Qwen3 235B A22B Instruct 2507 is $2.4 cheaper per 1M output tokens (96% lower; 25x difference).
Grok 4.3 has 737.86K more context (3.81x larger).

Head-to-Head Specs

Feature	Qwen3 235B A22B Instruct 2507 (Qwen)	NewGrok 4.3 (xAI)
Input Price prompt tokens per 1M	$0.071	$1.25
Completion Price per 1M tokens	$0.1	$2.5
Sample Workload Cost 1M input + 500K output	$0.12	$2.5
Context Window	262.14K	1M
Release Date	2025-07-21	2026-04-30
Popularity	#42	#50

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3 235B A22B Instruct 2507	On the standard 1M input plus 500K output workload, Qwen3 235B A22B Instruct 2507 is estimated at $0.12 vs $2.5 for Grok 4.3, saving $2.38 (95.2% lower).
High-volume input processing	Qwen3 235B A22B Instruct 2507	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Qwen3 235B A22B Instruct 2507	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Grok 4.3	A 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 235B A22B Instruct 2507 when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3 235B A22B Instruct 2507 when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3 235B A22B Instruct 2507 when lower sample workload cost matters most: $0.09.
Qwen3.5-9B can replace Qwen3 235B A22B Instruct 2507 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.
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.

Popular competitors

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Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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Qwen catalog

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xAI catalog

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Qwen3 235B A22B Instruct 2507

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...

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...