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Llama 3.1 8B (Together AI) vs Qwen3 VL 30B (Fireworks): API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Llama 3.1 8B (Together AI) (Together AI) and Qwen3 VL 30B (Fireworks) (Fireworks AI). 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

Together AILlama 3.1 8B (Together AI)Fireworks AIQwen3 VL 30B (Fireworks)

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: Llama 3.1 8B (Together AI) at $2.70/month.

Cheapest: Llama 3.1 8B (Together AI) at $2.70/mo — save 40.0% vs Qwen3 VL 30B (Fireworks)
Alert
BestLlama 3.1 8B (Together AI)
Together AI$2.70$0.000270$1.80$0.9040.0%Alerts coming soon
Qwen3 VL 30B (Fireworks)
Fireworks AI$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 TypeLlama 3.1 8B (Together AI)Qwen3 VL 30B (Fireworks)Cheaper
Input (standard)$0.18/M$0.15/MQwen3 VL 30B (Fireworks)
Output$0.18/M$0.60/MLlama 3.1 8B (Together AI)
Cached inputN/A$0.08/M
Batch inputN/A$0.08/M
Batch outputN/A$0.30/M

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.

VolumeLlama 3.1 8B (Together AI)MonthlyQwen3 VL 30B (Fireworks)MonthlyLlama 3.1 8B (Together AI)Per requestQwen3 VL 30B (Fireworks)Per request
1K requests/mo$0.27$0.45$0.000270$0.000450
10K requests/mo$2.70$4.50$0.000270$0.000450
100K requests/mo$27.00$45.00$0.000270$0.000450
1M requests/mo$270.00$450.00$0.000270$0.000450

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 Llama 3.1 8B (Together AI)

by Together AI

  • Text classification
  • Customer support
  • General chatbot

Input / 1M tokens

$0.18/M

Output / 1M tokens

$0.18/M

Context window

131,072

Tier

budget

When to Choose Qwen3 VL 30B (Fireworks)

by Fireworks AI

  • Document summarization
  • General chatbot

Input / 1M tokens

$0.15/M

Output / 1M tokens

$0.60/M

Context window

262,144

Tier

mid

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.

CapabilityLlama 3.1 8B (Together AI)Qwen3 VL 30B (Fireworks)
Context window131,072 tokens262,144 tokens
Max output tokens4,096 tokens8,192 tokens
Performance tierBudgetMid
Vision / image inputNoYes
Function callingYesYes
JSON modeYesYes
Prompt cachingNoYes
Batch API (50% discount)NoYes
Extended reasoningNoNo
Fine-tuningYesNo

Llama 3.1 8B (Together AI) notes

Most affordable Together AI option. Supports fine-tuning on custom data.

Qwen3 VL 30B (Fireworks) notes

Fireworks serverless pricing. Vision/multimodal capable. Cached input 50% discount.

Frequently Asked Questions

Is Llama 3.1 8B (Together AI) cheaper than Qwen3 VL 30B (Fireworks)?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Llama 3.1 8B (Together AI) costs $27.00/month versus $45.00/month for Qwen3 VL 30B (Fireworks) — a 40% 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, Llama 3.1 8B (Together AI) or Qwen3 VL 30B (Fireworks)?

Qwen3 VL 30B (Fireworks) has a larger context window at 262,144 tokens, compared to 131,072 tokens for Llama 3.1 8B (Together AI). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do Llama 3.1 8B (Together AI) and Qwen3 VL 30B (Fireworks) support the Batch API?

Qwen3 VL 30B (Fireworks) supports the Batch API (50% discount for async processing), while Llama 3.1 8B (Together AI) does not. If your workload tolerates up to 24-hour latency, routing to Qwen3 VL 30B (Fireworks) with batch pricing could significantly cut costs versus Llama 3.1 8B (Together AI)'s standard rate.

Which model offers better prompt caching?

Qwen3 VL 30B (Fireworks) supports prompt caching at $0.08/M for cached input, while Llama 3.1 8B (Together AI) does not offer prompt caching. For RAG applications or chatbots with large, repeated context, Qwen3 VL 30B (Fireworks)'s caching capability can substantially reduce effective costs.

What are the best use cases for Llama 3.1 8B (Together AI) vs Qwen3 VL 30B (Fireworks)?

Both models are well-suited for General chatbot. Llama 3.1 8B (Together AI) is particularly strong for Text classification, Customer support. Qwen3 VL 30B (Fireworks) is favored for Document summarization. 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 Llama 3.1 8B (Together AI) vs Qwen3 VL 30B (Fireworks)?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Llama 3.1 8B (Together AI) costs $0.000270 per request and Qwen3 VL 30B (Fireworks) costs $0.000450 per request. At 100,000 requests/month, that translates to $27.00 and $45.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Llama 3.1 8B (Together AI) vs Qwen3 VL 30B (Fireworks): Summary

When comparing Llama 3.1 8B (Together AI) and Qwen3 VL 30B (Fireworks) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Llama 3.1 8B (Together AI) offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $27.00/month, compared to $45.00/month for Qwen3 VL 30B (Fireworks).

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Llama 3.1 8B (Together AI) charges $0.18/M for input tokens and $0.18/M for output tokens. Qwen3 VL 30B (Fireworks) charges $0.15/M input and $0.60/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 Qwen3 VL 30B (Fireworks) but not Llama 3.1 8B (Together AI). 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 VL 30B (Fireworks) supports up to 262,144 tokens in a single request, versus 131,072 tokens for Llama 3.1 8B (Together AI). 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 Llama 3.1 8B (Together AI) or Qwen3 VL 30B (Fireworks) is recommended.