API cost decision in 10 seconds

DeepSeek V3.1 vs Qwen3 30B A3B Instruct 2507

Pick Qwen3 30B A3B Instruct 2507 when budget and context both matter.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T18:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3 30B A3B Instruct 2507 when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3 30B A3B Instruct 2507 is estimated at $0.24 vs $0.6 for DeepSeek V3.1, saving $0.36 (60.3% lower).

Cost-first pickQwen3 30B A3B Instruct 2507

Context-first pickQwen3 30B A3B Instruct 2507

Sample savings$0.3660.3%

10x traffic gap$3.65

Qwen3 30B A3B Instruct 2507 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $3.65. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3 30B A3B Instruct 2507 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	DeepSeek V3.1	Qwen3 30B A3B Instruct 2507
Input-heavy / RAG	5M input + 500K output	Qwen3 30B A3B Instruct 2507	$1.45	$0.6
Balanced workload	1M input + 1M output	Qwen3 30B A3B Instruct 2507	$1	$0.39
Output-heavy chatbot	1M input + 5M output	Qwen3 30B A3B Instruct 2507	$4.16	$1.59

Cheaper input Qwen3 30B A3B Instruct 2507 $0.21 vs $0.09 / 1M

Qwen3 30B A3B Instruct 2507 is $0.12 cheaper per 1M input tokens (57.1% lower; 2.33x difference).

Cheaper output Qwen3 30B A3B Instruct 2507 $0.79 vs $0.3 / 1M

Qwen3 30B A3B Instruct 2507 is $0.49 cheaper per 1M output tokens (62% lower; 2.63x difference).

Larger context Qwen3 30B A3B Instruct 2507 163.84K vs 262.14K

Qwen3 30B A3B Instruct 2507 has 98.3K more context (1.6x larger).

Sample workload Qwen3 30B A3B Instruct 2507 $0.6 vs $0.24

Qwen3 30B A3B Instruct 2507 is $0.36 cheaper on the standard workload (60.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

DeepSeek V3.1 Calculating… Estimated API cost

Qwen3 30B A3B Instruct 2507 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 30B A3B Instruct 2507 has the lower input price; Qwen3 30B A3B Instruct 2507 has the lower output price; Qwen3 30B A3B Instruct 2507 offers the larger context window. For the 1M input plus 500K output sample, Qwen3 30B A3B Instruct 2507 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.6 for DeepSeek V3.1 and $0.24 for Qwen3 30B A3B Instruct 2507.

Best Fit

Choose DeepSeek V3.1 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Qwen3 30B A3B Instruct 2507 when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Qwen3 30B A3B Instruct 2507 is estimated at $0.24 vs $0.6 for DeepSeek V3.1, saving $0.36 (60.3% lower).
Qwen3 30B A3B Instruct 2507 is $0.36 cheaper on the standard workload (60.3% lower).
Qwen3 30B A3B Instruct 2507 is $0.12 cheaper per 1M input tokens (57.1% lower; 2.33x difference).
Qwen3 30B A3B Instruct 2507 is $0.49 cheaper per 1M output tokens (62% lower; 2.63x difference).
Qwen3 30B A3B Instruct 2507 has 98.3K more context (1.6x larger).

Head-to-Head Specs

Feature	DeepSeek V3.1 (DeepSeek)	Qwen3 30B A3B Instruct 2507 (Qwen)
Input Price prompt tokens per 1M	$0.21	$0.09
Completion Price per 1M tokens	$0.79	$0.3
Sample Workload Cost 1M input + 500K output	$0.6	$0.24
Context Window	163.84K	262.14K
Release Date	2025-08-21	2025-07-29
Popularity	#59	#110

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3 30B A3B Instruct 2507	On the standard 1M input plus 500K output workload, Qwen3 30B A3B Instruct 2507 is estimated at $0.24 vs $0.6 for DeepSeek V3.1, saving $0.36 (60.3% lower).
High-volume input processing	Qwen3 30B A3B Instruct 2507	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Qwen3 30B A3B Instruct 2507	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Qwen3 30B A3B Instruct 2507	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

DeepSeek V4 Flash (free) can replace DeepSeek V3.1 when lower sample workload cost matters most: $0.
DeepSeek V4 Flash can replace DeepSeek V3.1 when lower sample workload cost matters most: $0.2.
R1 Distill Qwen 32B can replace DeepSeek V3.1 when lower sample workload cost matters most: $0.43.
DeepSeek V3.2 can replace DeepSeek V3.1 when lower sample workload cost matters most: $0.44.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 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.
Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

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

DeepSeek catalog

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

Open DeepSeek models

Qwen catalog

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

Open Qwen models

DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

Qwen3 30B A3B Instruct 2507

Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...