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Mistral NeMo Instruct vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 leads the LLM Stats Score 28.1 to -4.8. Mistral NeMo Instruct is 44.8x cheaper per token.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3-235B-A22B-Thinking-2507 leads the overall LLM Stats Score 28.1 to -4.8, ranking #135 overall.

On price, Mistral NeMo Instruct is roughly 44.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3-235B-A22B-Thinking-2507 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Mistral NeMo Instruct

  • cost matters — it's about 44.8x cheaper per token

Choose Qwen3-235B-A22B-Thinking-2507

  • overall performance matters — it scores 28.1 and ranks #135 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Jul 2025

At a glance

The differences that matter most.

Mistral NeMo Instruct
Mistral AI
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
-4.8
#353
28.1
#135
Reasoning
-5.0
#345
28.4
#128
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.02 / M
$0.30 / M
Output price
$0.03 / M
$3.00 / M
Context window
131,072
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Mistral NeMo Instruct
Qwen3-235B-A22B-Thinking-2507
Finance
-8.1#222
33.1#11
Legal
-8.1#205
33.2#11
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for Mistral NeMo Instruct · 25 for Qwen3-235B-A22B-Thinking-2507

No common benchmarks found

Mistral NeMo Instruct and Qwen3-235B-A22B-Thinking-2507don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Mistral NeMo Instruct costs less

For input processing, Mistral NeMo Instruct ($0.02/1M tokens) is 15.8x cheaper than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, Mistral NeMo Instruct ($0.03/1M tokens) is 100.0x cheaper than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

In conclusion, Qwen3-235B-A22B-Thinking-2507 is more expensive than Mistral NeMo Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Sep 21 2026 • llm-stats.com
Mistral AI
Mistral NeMo Instruct
Input tokens$0.02
Output tokens$0.03
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input tokens$0.30
Output tokens$3.00
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

223.0B diff

Qwen3-235B-A22B-Thinking-2507 has 223.0B more parameters than Mistral NeMo Instruct, making it 1858.3% larger.

Mistral AI
Mistral NeMo Instruct
12.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
235.0Bparameters
12.0B
Mistral NeMo Instruct
235.0B
Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Thinking-2507 accepts 262,144 input tokens compared to Mistral NeMo Instruct's 131,072 tokens. Both models can generate responses up to 131,072 tokens.

Mistral AI
Mistral NeMo Instruct
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Mon Sep 21 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Mistral NeMo Instruct

Apache 2.0

Open weights

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral NeMo Instruct was released on 2024-07-18, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Qwen3-235B-A22B-Thinking-2507 is 12 months newer than Mistral NeMo Instruct.

Mistral NeMo Instruct

Jul 18, 2024

2.2 years ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

1.2 years ago

1.0yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Mistral NeMo Instruct is available from DeepInfra, Google, Mistral AI. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

Mistral NeMo Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.03/1M
google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M

Qwen3-235B-A22B-Thinking-2507

fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Mistral NeMo Instruct and Qwen3-235B-A22B-Thinking-2507 side-by-side, then vote on the output you prefer.

Mistral NeMo Instruct
✓ Preferred
Qwen3-235B-A22B-Thinking-2507
Open in Playground

FAQ

Common questions about Mistral NeMo Instruct vs Qwen3-235B-A22B-Thinking-2507.

Which is better, Mistral NeMo Instruct or Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Thinking-2507 leads the LLM Stats Score 28.1 to -4.8. Mistral NeMo Instruct is made by Mistral AI and Qwen3-235B-A22B-Thinking-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral NeMo Instruct compare to Qwen3-235B-A22B-Thinking-2507 in benchmarks?

Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.

Is Mistral NeMo Instruct cheaper than Qwen3-235B-A22B-Thinking-2507?

Mistral NeMo Instruct is 15.8x cheaper for input tokens. Mistral NeMo Instruct costs $0.02/M input and $0.03/M output via deepinfra. Qwen3-235B-A22B-Thinking-2507 costs $0.30/M input and $3.00/M output via fireworks.

What are the context window sizes for Mistral NeMo Instruct and Qwen3-235B-A22B-Thinking-2507?

Mistral NeMo Instruct supports 131K tokens and Qwen3-235B-A22B-Thinking-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral NeMo Instruct and Qwen3-235B-A22B-Thinking-2507?

Key differences include LLM Stats Score (-4.8 vs 28.1), context window (131K vs 262K), input pricing ($0.02 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral NeMo Instruct and Qwen3-235B-A22B-Thinking-2507?

Mistral NeMo Instruct is developed by Mistral AI and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.

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