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Model comparison

Mellum2-12B-A2.5B-Thinking vs Mistral Large 2

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
No comparison
41.77/100
0 category wins0 category wins

Public leaderboard positions: Mellum2-12B-A2.5B-Thinking unranked (Not scored); Mistral Large 2 #163 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Mellum2-12B-A2.5B-Thinking and Mistral Large 2 share 0 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to Mellum2-12B-A2.5B-Thinking; 11 to Mistral Large 2.

Updated July 23, 2026
Shared results
0
Mellum2-12B-A2.5B-Thinking only
5
Mistral Large 2 only
11
Comparable categories
0 / 8

Benchmark data for Mellum2-12B-A2.5B-Thinking and Mistral Large 2 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricMellum2-12B-A2.5B-ThinkingMistral Large 2Comparison
Input / output priceUSD per 1M tokensMellum2-12B-A2.5B-ThinkingNot availableMistral Large 2Not availableA complete price comparison is not available.
Generation speedtokens per secondMellum2-12B-A2.5B-ThinkingNot availableMistral Large 238 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenMellum2-12B-A2.5B-ThinkingNot availableMistral Large 21.45 sA complete latency comparison is not available.
Context windowmaximum listed tokensMellum2-12B-A2.5B-Thinking128KMistral Large 2128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkMellum2-12B-A2.5B-ThinkingMistral Large 2Result
BFCL v4Source 45.6%Not comparable
τ²-bench resultsSource 30.7%Not comparable
Coding
BenchmarkMellum2-12B-A2.5B-ThinkingMistral Large 2Result
AA-SciCodeSource 29.2%Not comparable
Reasoning
BenchmarkMellum2-12B-A2.5B-ThinkingMistral Large 2Result
AA-LCRSource 5.3%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkMellum2-12B-A2.5B-ThinkingMistral Large 2Result
MMLU-ReduxSource 86.2%Not comparable
GPQASource 57.6%Not comparable
GPQA-DSource 57.6%Not comparable
Artificial Analysis Intelligence IndexSource 9.2%Not comparable
AA-GPQA DiamondSource 48.6%Not comparable
AA-HLESource 4.0%Not comparable
AA-Omniscience IndexSource -34.0%Not comparable
AA-Omniscience AccuracySource 20.1%Not comparable
AA-Omniscience Hallucination RateSource 67.8%Not comparable
Inst. Following
BenchmarkMellum2-12B-A2.5B-ThinkingMistral Large 2Result
IFEvalSource 76.5%Not comparable
AA-IFBenchSource 31.2%Not comparable
Frequently Asked Questions (3)

Can I compare Mellum2-12B-A2.5B-Thinking and Mistral Large 2 on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Mellum2-12B-A2.5B-Thinking and Mistral Large 2 today?

Mistral Large 2: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 23, 2026

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