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GPT-4o mini vs Qwen3.5 Flash (OpenRouter): API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for GPT-4o mini (OpenAI) and Qwen3.5 Flash (OpenRouter) (OpenRouter). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Mar 10, 2026

Interactive Cost Calculator

OpenAIGPT-4o miniOpenRouterQwen3.5 Flash (OpenRouter)

Fills in typical token counts for a workload type

Tokens in each prompt sent to the model

Tokens generated in each response

Total API calls per month

Showing costs for 2 models. Cheapest: Qwen3.5 Flash (OpenRouter) at $3.00/month.

Cheapest: Qwen3.5 Flash (OpenRouter) at $3.00/mo — save 33.3% vs GPT-4o mini
Alert
BestQwen3.5 Flash (OpenRouter)
OpenRouter$3.00$0.000300$1.00$2.0033.3%Alerts coming soon
GPT-4o mini
OpenAI$4.50$0.000450$1.50$3.00Alerts coming soon

Monthly Cost Comparison

Price Comparison at a Glance

All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.

Pricing TypeGPT-4o miniQwen3.5 Flash (OpenRouter)Cheaper
Input (standard)$0.15/M$0.10/MQwen3.5 Flash (OpenRouter)
Output$0.60/M$0.40/MQwen3.5 Flash (OpenRouter)
Cached input$0.08/MN/A
Batch input$0.08/MN/A
Batch output$0.30/MN/A

Prices last verified: 2026-03-06 – 2026-03-10

Cost Breakdown by Usage Volume

Estimated monthly costs at different request volumes, assuming 1,000 input tokens and 500 output tokens per request. Adjust in the calculator above for your specific use case.

VolumeGPT-4o miniMonthlyQwen3.5 Flash (OpenRouter)MonthlyGPT-4o miniPer requestQwen3.5 Flash (OpenRouter)Per request
1K requests/mo$0.45$0.30$0.000450$0.000300
10K requests/mo$4.50$3.00$0.000450$0.000300
100K requests/mo$45.00$30.00$0.000450$0.000300
1M requests/mo$450.00$300.00$0.000450$0.000300

Green values indicate the lower-cost option at each volume tier. Cost per request is calculated at 1,000 input + 500 output tokens using standard (non-batch, non-cached) pricing.

Price History

Input price per 1M tokens

When to Choose GPT-4o mini

by OpenAI

  • Text classification
  • Customer support
  • Data extraction

Input / 1M tokens

$0.15/M

Output / 1M tokens

$0.60/M

Context window

128,000

Tier

budget

When to Choose Qwen3.5 Flash (OpenRouter)

by OpenRouter

  • Customer support
  • Text classification
  • General chatbot

Input / 1M tokens

$0.10/M

Output / 1M tokens

$0.40/M

Context window

1,000,000

Tier

budget

Key Differences Beyond Price

Cost is only one factor in choosing an AI model. Context window size, rate limits, supported features, and latency all affect whether a model fits your use case.

CapabilityGPT-4o miniQwen3.5 Flash (OpenRouter)
Context window128,000 tokens1,000,000 tokens
Max output tokens16,384 tokens65,536 tokens
Performance tierBudgetBudget
Vision / image inputYesNo
Function callingYesYes
JSON modeYesYes
Prompt cachingYesNo
Batch API (50% discount)YesNo
Extended reasoningNoNo
Fine-tuningYesNo
Rate limit (req/min)10,000Not published

GPT-4o mini notes

Best cost-performance ratio for high-volume lightweight workloads.

Qwen3.5 Flash (OpenRouter) notes

OpenRouter offers 200+ models — showing top 15 unique models not available from other listed providers. Prices include OpenRouter markup.

Frequently Asked Questions

Is GPT-4o mini cheaper than Qwen3.5 Flash (OpenRouter)?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Qwen3.5 Flash (OpenRouter) costs $30.00/month versus $45.00/month for GPT-4o mini — a 33% saving. Your actual savings will vary based on your token profile; output-heavy workloads amplify differences in output pricing.

Which model has a larger context window, GPT-4o mini or Qwen3.5 Flash (OpenRouter)?

Qwen3.5 Flash (OpenRouter) has a larger context window at 1,000,000 tokens, compared to 128,000 tokens for GPT-4o mini. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do GPT-4o mini and Qwen3.5 Flash (OpenRouter) support the Batch API?

GPT-4o mini supports the Batch API (50% discount for async processing), while Qwen3.5 Flash (OpenRouter) does not. If your workload tolerates up to 24-hour latency, routing to GPT-4o mini with batch pricing could significantly cut costs versus Qwen3.5 Flash (OpenRouter)'s standard rate.

Which model offers better prompt caching?

GPT-4o mini supports prompt caching at $0.08/M for cached input, while Qwen3.5 Flash (OpenRouter) does not offer prompt caching. For RAG applications or chatbots with large, repeated context, GPT-4o mini's caching capability can substantially reduce effective costs.

What are the best use cases for GPT-4o mini vs Qwen3.5 Flash (OpenRouter)?

Both models are well-suited for Text classification, Customer support. GPT-4o mini is particularly strong for Data extraction. Qwen3.5 Flash (OpenRouter) is favored for General chatbot. At the same quality level, the lower-cost model is usually preferable; use this page's calculator to compare total monthly spend at your volume.

What is the cost per request for GPT-4o mini vs Qwen3.5 Flash (OpenRouter)?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — GPT-4o mini costs $0.000450 per request and Qwen3.5 Flash (OpenRouter) costs $0.000300 per request. At 100,000 requests/month, that translates to $45.00 and $30.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

GPT-4o mini vs Qwen3.5 Flash (OpenRouter): Summary

When comparing GPT-4o mini and Qwen3.5 Flash (OpenRouter) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Qwen3.5 Flash (OpenRouter) offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $30.00/month, compared to $45.00/month for GPT-4o mini.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. GPT-4o mini charges $0.15/M for input tokens and $0.60/M for output tokens. Qwen3.5 Flash (OpenRouter) charges $0.10/M input and $0.40/M output. If your workload is output-heavy (more tokens generated than consumed as input), the model with the lower output price compounds cost savings significantly at scale.

Prompt caching is supported by GPT-4o mini but not Qwen3.5 Flash (OpenRouter). For workloads with large, repeated system prompts or document context — such as RAG pipelines or multi-turn conversations with a fixed knowledge base — prompt caching can reduce effective input costs by 60–90%, which may change the cost ranking between these two models at your specific usage pattern.

Context window capacity differs between the two: Qwen3.5 Flash (OpenRouter) supports up to 1,000,000 tokens in a single request, versus 128,000 tokens for GPT-4o mini. A larger context window is essential for document summarization, large codebase analysis, and multi-document retrieval-augmented generation (RAG) applications.

Use the interactive calculator at the top of this page to enter your actual token usage and monthly request volume for a precise cost comparison tailored to your workload. Adjust for batch API discounts and prompt caching to find the most cost-effective option for your specific deployment.

Explore other model comparisons from the same providers or performance tiers.

Related Provider Pages

View complete pricing tables and model lineups for the providers behind these models.

Relevant Use Cases

See cost recommendations for workloads where GPT-4o mini or Qwen3.5 Flash (OpenRouter) is recommended.