Mistral Large 2 vs Qwen3-235B-A22B

Name: Mistral Large 2
Author: MistralAI

Mistral Large 2 (2025) and Qwen3-235B-A22B (2025) are compact production models from MistralAI and Alibaba. Mistral Large 2 ships a 128K-token context window, while Qwen3-235B-A22B ships a 128K-token context window. On MMLU PRO, Qwen3-235B-A22B leads by 13.1 pts. On pricing, Qwen3-235B-A22B costs $0.4/1M input tokens versus $0.48/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Pick Qwen3-235B-A22B for general evaluation; Mistral Large 2 is better when vision-heavy evaluation matters more.

Decision scorecard

Local evidence first

Signal	Mistral Large 2	Qwen3-235B-A22B	How to read it
Decision fit	Coding, RAG, and Agents	Coding, RAG, and Long context	Primary workload tags from local decision data.
Context window	128K	128K	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	$2.4/1M tokens	$1.2/1M tokens	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	4 tracked	4 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	2 rows	MMLU PRO leader	Largest visible lead is 13.1 points on MMLU PRO.

Decision tradeoffs

Choose Mistral Large 2 when...

Mistral Large 2 uniquely exposes Vision, Multimodal, and Function calling in local model data.
Local decision data tags Mistral Large 2 for Coding, RAG, and Agents.

Choose Qwen3-235B-A22B when...

Qwen3-235B-A22B leads the largest shared benchmark signal on MMLU PRO by 13.1 points.
Qwen3-235B-A22B has the lower cheapest tracked output price at $1.2/1M tokens.
Local decision data tags Qwen3-235B-A22B for Coding, RAG, and Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Lower estimate Qwen3-235B-A22B

Requests / monthInput tokens / requestOutput tokens / request

Mistral Large 2

$984

Cheapest tracked route: AWS Bedrock

Qwen3-235B-A22B

$620

Cheapest tracked route: AWS Bedrock

Estimated monthly gap: $364. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

Mistral Large 2 -> Qwen3-235B-A22B

Provider overlap exists on AWS Bedrock and OpenRouter; start route-level A/B tests there.
Qwen3-235B-A22B is $1.2/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.

Qwen3-235B-A22B -> Mistral Large 2

Provider overlap exists on OpenRouter and AWS Bedrock; start route-level A/B tests there.
Mistral Large 2 is $1.2/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Mistral Large 2 adds Vision, Multimodal, and Function calling in local capability data.

Specs

Specification	Mistral Large 2 MistralAI	Qwen3-235B-A22B Alibaba
Released	2025-11-25	2025-04-29
Context window	128K	128K
Parameters	123B	235B
Architecture	decoder only	decoder only
License	True	Apache 2.0
Knowledge cutoff	2025-07	-

Pricing and availability

Pricing attribute	Mistral Large 2	Qwen3-235B-A22B
Input price	$0.48/1M tokens	$0.4/1M tokens
Output price	$2.4/1M tokens	$1.2/1M tokens
Providers	OpenRouter IBM watsonx AWS Bedrock Mistral AI Studio	Fireworks AI AWS Bedrock OpenRouter Venice AI

Capabilities

Capability	Mistral Large 2	Qwen3-235B-A22B
Vision	Yes	No
Multimodal	Yes	No
Reasoning	No	No
Function calling	Yes	No
Tool use	Yes	No
Structured outputs	Yes	Yes
Code execution	No	No

Benchmarks

Benchmark	Mistral Large 2	Qwen3-235B-A22B
MMLU PRO	69.7	82.8
HumanEval	84.8	92.7

Deep dive

On shared benchmark coverage, MMLU PRO has Mistral Large 2 at 69.7 and Qwen3-235B-A22B at 82.8, with Qwen3-235B-A22B ahead by 13.1 points; HumanEval has Mistral Large 2 at 84.8 and Qwen3-235B-A22B at 92.7, with Qwen3-235B-A22B ahead by 7.9 points. The largest visible gap is 13.1 points on MMLU PRO, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

The capability footprint differs most on vision: Mistral Large 2, multimodal input: Mistral Large 2, function calling: Mistral Large 2, and tool use: Mistral Large 2. Both models share structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

For cost, Mistral Large 2 lists $0.48/1M input and $2.4/1M output tokens, while Qwen3-235B-A22B lists $0.4/1M input and $1.2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3-235B-A22B lower by about $0.42 per million blended tokens. Availability is 4 providers versus 4, so concentration risk also matters.

Choose Mistral Large 2 when vision-heavy evaluation are central to the workload. Choose Qwen3-235B-A22B when provider fit and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which has a larger context window, Mistral Large 2 or Qwen3-235B-A22B?

Mistral Large 2 supports 128K tokens, while Qwen3-235B-A22B supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Mistral Large 2 or Qwen3-235B-A22B?

Qwen3-235B-A22B is cheaper on tracked token pricing. Mistral Large 2 costs $0.48/1M input and $2.4/1M output tokens. Qwen3-235B-A22B costs $0.4/1M input and $1.2/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Mistral Large 2 or Qwen3-235B-A22B open source?

Mistral Large 2 is listed under True. Qwen3-235B-A22B is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, Mistral Large 2 or Qwen3-235B-A22B?

Mistral Large 2 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for multimodal input, Mistral Large 2 or Qwen3-235B-A22B?

Mistral Large 2 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Mistral Large 2 and Qwen3-235B-A22B?

Mistral Large 2 is available on OpenRouter, IBM watsonx, AWS Bedrock, and Mistral AI Studio. Qwen3-235B-A22B is available on Fireworks AI, AWS Bedrock, OpenRouter, and Venice AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

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Last reviewed: 2026-05-20. Data sourced from public model cards and provider documentation.