API cost decision in 10 seconds

Mistral Large 3 2512 vs Qwen3 14B

Pick Qwen3 14B for lower cost; pick Mistral Large 3 2512 only if the larger context window matters more.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T19:08:13Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3 14B for lower cost; pick Mistral Large 3 2512 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $1.25 for Mistral Large 3 2512, saving $1.03 (82.4% lower).

Cost-first pickQwen3 14B

Context-first pickMistral Large 3 2512

Sample savings$1.0382.4%

10x traffic gap$10.3

Mistral Large 3 2512 has more context, but Qwen3 14B saves $1.03 on the standard workload. At 10x that traffic, the same price gap is about $10.3. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3 14B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Mistral Large 3 2512	Qwen3 14B
Input-heavy / RAG	5M input + 500K output	Qwen3 14B	$3.25	$0.62
Balanced workload	1M input + 1M output	Qwen3 14B	$2	$0.34
Output-heavy chatbot	1M input + 5M output	Qwen3 14B	$8	$1.3

Cheaper input Qwen3 14B $0.5 vs $0.1 / 1M

Qwen3 14B is $0.4 cheaper per 1M input tokens (80% lower; 5x difference).

Cheaper output Qwen3 14B $1.5 vs $0.24 / 1M

Qwen3 14B is $1.26 cheaper per 1M output tokens (84% lower; 6.25x difference).

Larger context Mistral Large 3 2512 262.14K vs 131.7K

Mistral Large 3 2512 has 130.44K more context (1.99x larger).

Sample workload Qwen3 14B $1.25 vs $0.22

Qwen3 14B is $1.03 cheaper on the standard workload (82.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Mistral Large 3 2512 Calculating… Estimated API cost

Qwen3 14B 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 14B has the lower input price; Qwen3 14B has the lower output price; Mistral Large 3 2512 offers the larger context window. For the 1M input plus 500K output sample, Qwen3 14B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.25 for Mistral Large 3 2512 and $0.22 for Qwen3 14B.

Best Fit

Choose Mistral Large 3 2512 when you care most about larger context window.

Choose Qwen3 14B when you care most about lower input-token price, and lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $1.25 for Mistral Large 3 2512, saving $1.03 (82.4% lower).
Qwen3 14B is $1.03 cheaper on the standard workload (82.4% lower).
Qwen3 14B is $0.4 cheaper per 1M input tokens (80% lower; 5x difference).
Qwen3 14B is $1.26 cheaper per 1M output tokens (84% lower; 6.25x difference).
Mistral Large 3 2512 has 130.44K more context (1.99x larger).

Head-to-Head Specs

Feature	Mistral Large 3 2512 (Mistral)	Qwen3 14B (Qwen)
Input Price prompt tokens per 1M	$0.5	$0.1
Completion Price per 1M tokens	$1.5	$0.24
Sample Workload Cost 1M input + 500K output	$1.25	$0.22
Context Window	262.14K	131.7K
Release Date	2025-12-01	2025-04-28
Popularity	#114	#138

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3 14B	On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $1.25 for Mistral Large 3 2512, saving $1.03 (82.4% lower).
High-volume input processing	Qwen3 14B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Qwen3 14B	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Mistral Large 3 2512	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Mistral Nemo can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.04.
Mistral Small 3 can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.09.
Ministral 3 3B 2512 can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.15.
Mistral Small 3.2 24B can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.17.

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.
DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.

Popular competitors

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Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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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

Mistral catalog

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

Open Mistral models

Qwen catalog

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

Open Qwen models

Mistral Large 3 2512

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.

Qwen3 14B

Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...