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Mistral Nemo vs Hy3

Mistral Nemo costs 2.2x less per output token than Hy3 ($0.15 vs $0.33 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Replace Mistral Nemo Replace Hy3
Mistral NemoMistral AI
Coding
No data
Overall
No data
Output $/M
$0.15
Hy3Tencent
Coding
No data
Overall
No data
Output $/M
$0.33
vs $0.15 vs $0.33 per 1M output tokens. Mistral Nemo is 2.2x cheaper.

Mistral Nemo or Hy3: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Mistral Nemo for output tokens 2.2x cheaper ($0.15 vs $0.33 per million).

Model AMistral NemoMistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel BHy3TencentNot benchmarked1 independent benchmarkNo cost per solved task

No benchmark has tested both yet. Mistral Nemo has results on Epoch Capabilities Index, MMLU and DTBench; Hy3 on LMArena WebDev, SciCode and ALE-Bench. Compare them on price and context instead.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Mistral Nemo not benchmarked, Hy3 not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Mistral Nemo $0.15 against Hy3 $0.33 per million output tokens, 2.2x apart.
Context window
Mistral Nemo takes 131K tokens, Hy3 262K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index7 boards measured
Coding benchmarks for Mistral Nemo and Hy3
BenchmarkMistral NemoHy3Leader
LMArena WebDevNot measured1507Only Hy3 measured
SciCodeNot measured48.6%Only Hy3 measured
ALE-BenchNot measured838.6Only Hy3 measured
LMArena Text: codingNot measured1466Only Hy3 measured
LMArena Text: software and ITNot measured1463Only Hy3 measured
LMArena WebDev: ReactNot measured1511Only Hy3 measured
LMArena WebDev: HTMLNot measured1487Only Hy3 measured
Neither model has a result on the other 32 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Mistral Nemo and Hy3
BenchmarkMistral NemoHy3Leader
Epoch Capabilities Index118.7Not measuredOnly Mistral Nemo measured
Neither model has a result on the other 1 board here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Reasoning benchmarks for Mistral Nemo and Hy3
BenchmarkMistral NemoHy3Leader
GPQA Diamond (Artificial Analysis run)Not measured89.7%Only Hy3 measured
Humanity's Last Exam (Artificial Analysis run)Not measured33.5%Only Hy3 measured
LMArena Text: hard promptsNot measured1447Only Hy3 measured
LMArena Text: expertNot measured1461Only Hy3 measured
LMArena Text: hard prompts in EnglishNot measured1455Only Hy3 measured
Neither model has a result on the other 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for Mistral Nemo and Hy3
BenchmarkMistral NemoHy3Leader
LMArena Text: mathNot measured1473Only Hy3 measured
LMArena Text: mathematical workNot measured1482Only Hy3 measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Knowledge benchmarks for Mistral Nemo and Hy3
BenchmarkMistral NemoHy3Leader
MMLU65.3%Not measuredOnly Mistral Nemo measured
LMArena Text: scienceNot measured1457Only Hy3 measured
LMArena Text: medicine and healthcareNot measured1452Only Hy3 measured
LMArena Text: legal and governmentNot measured1422Only Hy3 measured
LMArena Text: business and financeNot measured1424Only Hy3 measured
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Web design benchmarks for Mistral Nemo and Hy3
BenchmarkMistral NemoHy3Leader
Design Arena: websitesNot measured1230Only Hy3 measured
Design Arena: UI componentsNot measured1207Only Hy3 measured
Design Arena: game devNot measured1208Only Hy3 measured
Design Arena: data vizNot measured1163Only Hy3 measured
Design Arena: 3DNot measured1233Only Hy3 measured
Design Arena: all code categoriesNot measured1227Only Hy3 measured
Design Arena: SVGNot measured1200Only Hy3 measured
Design Arena: ASCII artNot measured1152Only Hy3 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index19 boards measured
General benchmarks for Mistral Nemo and Hy3
BenchmarkMistral NemoHy3Leader
Long context reasoning (AA-LCR)Not measured79.0%Only Hy3 measured
DTBench48.6%Not measuredOnly Mistral Nemo measured
LMArena TextNot measured1438Only Hy3 measured
LMArena Text: instruction followingNot measured1426Only Hy3 measured
LMArena Text: creative writingNot measured1403Only Hy3 measured
LMArena Text: EnglishNot measured1448Only Hy3 measured
LMArena Text: non-EnglishNot measured1426Only Hy3 measured
LMArena Text: ChineseNot measured1485Only Hy3 measured
LMArena Text: GermanNot measured1449Only Hy3 measured
LMArena Text: JapaneseNot measured1397Only Hy3 measured
LMArena Text: KoreanNot measured1396Only Hy3 measured
LMArena Text: FrenchNot measured1456Only Hy3 measured
LMArena Text: SpanishNot measured1457Only Hy3 measured
LMArena Text: RussianNot measured1432Only Hy3 measured
LMArena Text: PolishNot measured1447Only Hy3 measured
LMArena Text: multi-turnNot measured1436Only Hy3 measured
LMArena Text: longer queriesNot measured1442Only Hy3 measured
LMArena Text: writing and languageNot measured1414Only Hy3 measured
LMArena Text: entertainment and mediaNot measured1400Only Hy3 measured
Neither model has a result on the other 27 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Mistral Nemo$0.0002Fits in one request
Hy3$0.0002Fits in one request

Mistral Nemo costs less

Repository review

50K input + 3K output tokens

Mistral Nemo$0.0080Fits in one request
Hy3$0.0051Fits in one request

Hy3 costs less

Agent loop

200K input + 10K output tokens

Mistral Nemo$0.032Exceeds the context window
Hy3$0.020Fits in one request

Hy3 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Mistral Nemo and Hy3
SpecificationMistral NemoTencent Hy3
MakerMistral AITencent
WeightsOpen weightsOpen weights
ReleasedJuly 19, 2024July 6, 2026
Context window131K262K
Input $/Mtok$0.15$0.0825
Output $/Mtok$0.15$0.33
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Nemo better than Hy3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Nemo for output tokens 2.2x cheaper ($0.15 vs $0.33 per million).

Which is cheaper, Mistral Nemo or Hy3?

Mistral Nemo costs $0.15 per million input tokens and $0.15 per million output tokens; Hy3 costs $0.0825 and $0.33. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Nemo or Hy3?

Hy3, with 262K tokens against 131K.

Has any benchmark tested both Mistral Nemo and Hy3?

No benchmark has tested both yet. Mistral Nemo has results on Epoch Capabilities Index, MMLU and DTBench; Hy3 on LMArena WebDev, SciCode and ALE-Bench. Compare them on price and context instead. Data as of October 21, 2026.

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