Can I run Mistral Nemo or Qianfan-OCR-Fast cheaper on another provider?

Some models are available on inference providers like Together AI, Groq, and Fireworks AI at lower prices. Check each model's pricing page for the full provider comparison.

What is the context window difference between Mistral Nemo and Qianfan-OCR-Fast?

Mistral Nemo has a larger context window at 131K tokens vs 65K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Mistral Nemo vs Qianfan-OCR-Fast

Pricing is only the shared seller matrix below. Best rates and catalog map are separate sections, so no chart is embedded in pricing. Open the calculator for the same workload on each side.

Mistral AI

Model

Mistral Nemo

Tool calling

Best $0.020 in · $0.040 out

Context window 131K

Pricing

Baidu

Model

Qianfan-OCR-Fast

Image input

Best $0.680 in · $2.81 out

Context window 66K

Pricing

Mistral Nemo is cheaper across the board — 97% cheaper on input and 98% cheaper on output.

Estimate cost

Pricing matrix

Shared sellers only. Each row is a host that lists both models. Dollar amounts are per 1M tokens. Lowest in each pair of columns is emphasized.

Provider	Mistral Nemo in	Mistral Nemo out	Qianfan-OCR-Fast in	Qianfan-OCR-Fast out
Azure	$0.150	$0.150	N/A	N/A
Novita	$0.040	$0.170	N/A	N/A
Openrouter	$0.020	$0.040	$0.680	$2.81

Best listed rates (this pair)

Same "best row in current pricing" logic as model pages: a compact view of the lowest input and output we show for each side. This is not the seller matrix.

Catalog map · Mistral AI · Baidu

Each chart uses real catalog rows that include both list input and list output ($/1M). Larger green dots are the models on this comparison page; accent dots are other active models from that provider.

Mistral AI · input vs output

Scatter chart: X = input $/M, Y = output $/M. This page's models are labeled on the green dots; hover others for detail.

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

Baidu · input vs output

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

Specifications

Each column header is the full model name. Tint marks the favorable value where we compute a winner.

Spec

Mistral Nemo

Qianfan-OCR-Fast

Context window: 131,072 tokens; 65,536 tokens
Max output tokens: 4,096 tokens; 28,672 tokens
Vision: No; Yes
Function calling: Yes; No
Streaming: No; Yes
Release date: Jul 2024; Apr 2026

Cost calculator

Same requests, input tokens, and output tokens for both columns. Pick the provider row that matches how you buy.

Mistral Nemo

Qianfan-OCR-Fast

Requests / day

Input tokens

Output tokens

Mistral Nemo

Monthly

$12

Annual

$146

Qianfan-OCR-Fast

Monthly

$626

Annual

$7.6K

Save $614/month with Mistral Nemo

When to pick which

Short takeaways: no cards, just the points. Validate with your own workloads.

Long-context tasks
Use Mistral Nemo. Its 131K context window handles large codebases and documents better than 65K.
High-volume text generation
Use Mistral Nemo. Output tokens are 98% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Qianfan-OCR-Fast. Its 28K max output limit reduces the need to split requests.

Frequently asked questions

Mistral Nemo is cheaper on both input and output tokens.

More comparisons

Other popular head-to-head matchups.