API cost decision in 10 seconds

NewGrok Build 0.1 vs Qwen3.5-122B-A10B

Pick Qwen3.5-122B-A10B when budget and context both matter.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3.5-122B-A10B when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3.5-122B-A10B is estimated at $1.3 vs $2 for Grok Build 0.1, saving $0.7 (35% lower).

Cost-first pickQwen3.5-122B-A10B
Context-first pickQwen3.5-122B-A10B
Sample savings$0.735%
10x traffic gap$7

Qwen3.5-122B-A10B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $7. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.5-122B-A10B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGrok Build 0.1Qwen3.5-122B-A10B
Input-heavy / RAG5M input + 500K outputQwen3.5-122B-A10B$6$2.34
Balanced workload1M input + 1M outputQwen3.5-122B-A10B$3$2.34
Output-heavy chatbot1M input + 5M outputQwen3.5-122B-A10B$11$10.66
Cheaper input Qwen3.5-122B-A10B $1 vs $0.26 / 1M

Qwen3.5-122B-A10B is $0.74 cheaper per 1M input tokens (74% lower; 3.85x difference).

Cheaper output Grok Build 0.1 $2 vs $2.08 / 1M

Grok Build 0.1 is $0.08 cheaper per 1M output tokens (3.8% lower; 1.04x difference).

Larger context Qwen3.5-122B-A10B 256K vs 262.14K

Qwen3.5-122B-A10B has 6.14K more context (1.02x larger).

Sample workload Qwen3.5-122B-A10B $2 vs $1.3

Qwen3.5-122B-A10B is $0.7 cheaper on the standard workload (35% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Grok Build 0.1 Calculating… Estimated API cost
Qwen3.5-122B-A10B 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

Qwen3.5-122B-A10B has the lower input price; Grok Build 0.1 has the lower output price; Qwen3.5-122B-A10B offers the larger context window. For the 1M input plus 500K output sample, Qwen3.5-122B-A10B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2 for Grok Build 0.1 and $1.3 for Qwen3.5-122B-A10B.

Best Fit

Choose Grok Build 0.1 when you care most about lower output-token price.

Choose Qwen3.5-122B-A10B when you care most about lower input-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.5-122B-A10B is estimated at $1.3 vs $2 for Grok Build 0.1, saving $0.7 (35% lower).
  • Qwen3.5-122B-A10B is $0.7 cheaper on the standard workload (35% lower).
  • Qwen3.5-122B-A10B is $0.74 cheaper per 1M input tokens (74% lower; 3.85x difference).
  • Grok Build 0.1 is $0.08 cheaper per 1M output tokens (3.8% lower; 1.04x difference).
  • Qwen3.5-122B-A10B has 6.14K more context (1.02x larger).
Head-to-Head Specs
FeatureNewGrok Build 0.1
(xAI)
Qwen3.5-122B-A10B
(Qwen)
Input Price
prompt tokens per 1M
$1$0.26
Completion Price
per 1M tokens
$2$2.08
Sample Workload Cost
1M input + 500K output
$2$1.3
Context Window256K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.5-122B-A10BOn the standard 1M input plus 500K output workload, Qwen3.5-122B-A10B is estimated at $1.3 vs $2 for Grok Build 0.1, saving $0.7 (35% lower).
High-volume input processingQwen3.5-122B-A10BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGrok Build 0.1Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.5-122B-A10BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Larger context near this budget
Popular competitors
  • No popular competitor is currently available.

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.

Open provider hubs

xAI catalog

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

Open xAI models

Qwen catalog

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

Open Qwen models
Grok Build 0.1

Grok Build 0.1 is xAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding...

Qwen3.5-122B-A10B

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...