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Aya Expanse vs DeepSeek V3.1 (Fireworks): API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Aya Expanse (Cohere) and DeepSeek V3.1 (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

CohereAya ExpanseFireworks AIDeepSeek V3.1 (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: Aya Expanse at $12.50/month.

Cheapest: Aya Expanse at $12.50/mo — save 10.7% vs DeepSeek V3.1 (Fireworks)
Alert
BestAya Expanse
Cohere$12.50$0.001250$5.00$7.5010.7%Alerts coming soon
DeepSeek V3.1 (Fireworks)
Fireworks AI$14.00$0.001400$5.60$8.40Alerts 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 TypeAya ExpanseDeepSeek V3.1 (Fireworks)Cheaper
Input (standard)$0.50/M$0.56/MAya Expanse
Output$1.50/M$1.68/MAya Expanse
Cached inputN/A$0.28/M
Batch inputN/A$0.28/M
Batch outputN/A$0.84/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.

VolumeAya ExpanseMonthlyDeepSeek V3.1 (Fireworks)MonthlyAya ExpansePer requestDeepSeek V3.1 (Fireworks)Per request
1K requests/mo$1.25$1.40$0.001250$0.001400
10K requests/mo$12.50$14.00$0.001250$0.001400
100K requests/mo$125.00$140.00$0.001250$0.001400
1M requests/mo$1,250.00$1,400.00$0.001250$0.001400

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 Aya Expanse

by Cohere

  • Content & copywriting
  • General chatbot
  • Customer support

Input / 1M tokens

$0.50/M

Output / 1M tokens

$1.50/M

Context window

128,000

Tier

mid

When to Choose DeepSeek V3.1 (Fireworks)

by Fireworks AI

  • Code generation
  • Document summarization
  • RAG / Semantic search

Input / 1M tokens

$0.56/M

Output / 1M tokens

$1.68/M

Context window

163,840

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.

CapabilityAya ExpanseDeepSeek V3.1 (Fireworks)
Context window128,000 tokens163,840 tokens
Max output tokens4,096 tokens16,384 tokens
Performance tierMidMid
Vision / image inputNoNo
Function callingNoYes
JSON modeYesYes
Prompt cachingNoYes
Batch API (50% discount)NoYes
Extended reasoningNoNo
Fine-tuningNoNo

Aya Expanse notes

Multilingual model supporting 23 languages. Good for international content.

DeepSeek V3.1 (Fireworks) notes

Fireworks serverless pricing. Cached input 50% discount. Batch inference at 50% of serverless rates.

Frequently Asked Questions

Is Aya Expanse cheaper than DeepSeek V3.1 (Fireworks)?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Aya Expanse costs $125.00/month versus $140.00/month for DeepSeek V3.1 (Fireworks) — a 11% 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, Aya Expanse or DeepSeek V3.1 (Fireworks)?

DeepSeek V3.1 (Fireworks) has a larger context window at 163,840 tokens, compared to 128,000 tokens for Aya Expanse. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do Aya Expanse and DeepSeek V3.1 (Fireworks) support the Batch API?

DeepSeek V3.1 (Fireworks) supports the Batch API (50% discount for async processing), while Aya Expanse does not. If your workload tolerates up to 24-hour latency, routing to DeepSeek V3.1 (Fireworks) with batch pricing could significantly cut costs versus Aya Expanse's standard rate.

Which model offers better prompt caching?

DeepSeek V3.1 (Fireworks) supports prompt caching at $0.28/M for cached input, while Aya Expanse does not offer prompt caching. For RAG applications or chatbots with large, repeated context, DeepSeek V3.1 (Fireworks)'s caching capability can substantially reduce effective costs.

What are the best use cases for Aya Expanse vs DeepSeek V3.1 (Fireworks)?

Aya Expanse is best suited for Content & copywriting, General chatbot, Customer support, while DeepSeek V3.1 (Fireworks) is optimized for Code generation, Document summarization, RAG / Semantic search. Choose based on which use case matches your primary workload — and validate with the cost calculator above to confirm the total monthly spend fits your budget.

What is the cost per request for Aya Expanse vs DeepSeek V3.1 (Fireworks)?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Aya Expanse costs $0.001250 per request and DeepSeek V3.1 (Fireworks) costs $0.001400 per request. At 100,000 requests/month, that translates to $125.00 and $140.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Aya Expanse vs DeepSeek V3.1 (Fireworks): Summary

When comparing Aya Expanse and DeepSeek V3.1 (Fireworks) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Aya Expanse offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $125.00/month, compared to $140.00/month for DeepSeek V3.1 (Fireworks).

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Aya Expanse charges $0.50/M for input tokens and $1.50/M for output tokens. DeepSeek V3.1 (Fireworks) charges $0.56/M input and $1.68/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 DeepSeek V3.1 (Fireworks) but not Aya Expanse. 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: DeepSeek V3.1 (Fireworks) supports up to 163,840 tokens in a single request, versus 128,000 tokens for Aya Expanse. 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 Aya Expanse or DeepSeek V3.1 (Fireworks) is recommended.