Can I run Mistral Small 3.1 24B or Qwen3 235B A22B Thinking 2507 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 Small 3.1 24B and Qwen3 235B A22B Thinking 2507?

Qwen3 235B A22B Thinking 2507 has a larger context window at 262K tokens vs 128K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Mistral Small 3.1 24B vs Qwen3 235B A22B Thinking 2507

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 AIMistral Small

Model

Mistral Small 3.1 24B

Image input

Best $0.350 in · $0.560 out

Context window 128K

Pricing

AlibabaQwen

Model

Qwen3 235B A22B Thinking 2507

Tool calling

Best $0.110 in · $0.600 out

Context window 262K

Pricing

Qwen3 235B A22B Thinking 2507 is 68% cheaper on input. Mistral Small 3.1 24B is 6% cheaper on output. The best choice depends on your input/output ratio.

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 Small 3.1 24B in	Mistral Small 3.1 24B out	Qwen3 235B A22B Thinking 2507 in	Qwen3 235B A22B Thinking 2507 out
DeepInfra	N/A	N/A	$0.300	$2.90
Fireworks AI	N/A	N/A	$0.220	$0.880
Novita	N/A	N/A	$0.300	$3.00
Openrouter	$0.350	$0.560	$0.110	$0.600
Together AI	N/A	N/A	$0.650	$3.00
Wandb	N/A	N/A	$10000.00	$10000.00

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 · Alibaba

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).

Alibaba · 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 Small 3.1 24B

Qwen3 235B A22B Thinking 2507

Context window: 128,000 tokens; 262,144 tokens
Max output tokens: N/A; 262,144 tokens
Vision: Yes; No
Function calling: No; Yes
Streaming: No; No
Release date: Mar 2025; Jul 2025

Cost calculator

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

Mistral Small 3.1 24B

Qwen3 235B A22B Thinking 2507

Requests / day

Input tokens

Output tokens

Mistral Small 3.1 24B

Monthly

$189

Annual

$2.3K

Qwen3 235B A22B Thinking 2507

Monthly

$269

Annual

$3.3K

Save $80/month with Mistral Small 3.1 24B

When to pick which

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

Long-context tasks
Use Qwen3 235B A22B Thinking 2507. Its 262K context window handles large codebases and documents better than 128K.
High-volume text generation
Use Mistral Small 3.1 24B. Output tokens are 6% cheaper, which compounds significantly at scale.

Frequently asked questions

Qwen3 235B A22B Thinking 2507 is cheaper on input tokens, while Mistral Small 3.1 24B is cheaper on output. The best choice depends on your input/output ratio.

More comparisons

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