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Claude Opus 4.1 vs Hy-MT2-30B-A3B

Hy-MT2-30B-A3B costs 254.2x less per output token than Claude Opus 4.1 ($0.295 vs $75.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
Hy-MT2-30B-A3BTencent
Coding
No data
Overall
No data
Output $/M
$0.295
vs $75.00 vs $0.295 per 1M output tokens. Hy-MT2-30B-A3B is 254.2x cheaper.

Claude Opus 4.1 or Hy-MT2-30B-A3B: which to pick

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

Pick Claude Opus 4.1 for a larger context window (200K against 8K tokens).

No benchmark has tested both yet. Claude Opus 4.1 has results on LMArena WebDev, LiveCodeBench (Vals AI) and Terminal-Bench; Hy-MT2-30B-A3B has none yet. 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
Claude Opus 4.1 not benchmarked, Hy-MT2-30B-A3B 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
Claude Opus 4.1 $75.00 against Hy-MT2-30B-A3B $0.295 per million output tokens, 254.2x apart.
Context window
Claude Opus 4.1 takes 200K tokens, Hy-MT2-30B-A3B 8K.

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 Index9 boards measured
Coding benchmarks for Claude Opus 4.1 and Hy-MT2-30B-A3B
BenchmarkClaude Opus 4.1Hy-MT2-30B-A3BLeader
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
LiveCodeBench (Vals AI)66.5%Not measuredOnly Claude Opus 4.1 measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
WeirdML45.9%Not measuredOnly Claude Opus 4.1 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding1479Not measuredOnly Claude Opus 4.1 measured
LMArena Text: software and IT1456Not measuredOnly Claude Opus 4.1 measured
LMArena WebDev: HTML1399Not measuredOnly Claude Opus 4.1 measured
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 34 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Claude Opus 4.1 and Hy-MT2-30B-A3B
BenchmarkClaude Opus 4.1Hy-MT2-30B-A3BLeader
AA Intelligence Index22.8Not measuredOnly Claude Opus 4.1 measured
Epoch Capabilities Index144.1Not measuredOnly Claude Opus 4.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Agentic work benchmarks for Claude Opus 4.1 and Hy-MT2-30B-A3B
BenchmarkClaude Opus 4.1Hy-MT2-30B-A3BLeader
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index10 boards measured
Reasoning benchmarks for Claude Opus 4.1 and Hy-MT2-30B-A3B
BenchmarkClaude Opus 4.1Hy-MT2-30B-A3BLeader
GPQA Diamond76.3%Not measuredOnly Claude Opus 4.1 measured
MMMU Pro (Vals AI)77.5%Not measuredOnly Claude Opus 4.1 measured
GPQA Diamond (Epoch AI run)77.3%Not measuredOnly Claude Opus 4.1 measured
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Mystery game puzzles21.0%Not measuredOnly Claude Opus 4.1 measured
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts1442Not measuredOnly Claude Opus 4.1 measured
LMArena Text: expert1438Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts in English1451Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 13 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Math benchmarks for Claude Opus 4.1 and Hy-MT2-30B-A3B
BenchmarkClaude Opus 4.1Hy-MT2-30B-A3BLeader
AIME78.2%Not measuredOnly Claude Opus 4.1 measured
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 measured
OTIS Mock AIME68.9%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: math1431Not measuredOnly Claude Opus 4.1 measured
LMArena Text: mathematical work1434Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 6 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards measured
Knowledge benchmarks for Claude Opus 4.1 and Hy-MT2-30B-A3B
BenchmarkClaude Opus 4.1Hy-MT2-30B-A3BLeader
MMLU Pro87.9%Not measuredOnly Claude Opus 4.1 measured
LegalBench (Vals AI)83.5%Not measuredOnly Claude Opus 4.1 measured
TaxEval (Vals AI)73.7%Not measuredOnly Claude Opus 4.1 measured
MortgageTax (Vals AI)61.1%Not measuredOnly Claude Opus 4.1 measured
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: science1422Not measuredOnly Claude Opus 4.1 measured
LMArena Text: medicine and healthcare1416Not measuredOnly Claude Opus 4.1 measured
LMArena Text: legal and government1421Not measuredOnly Claude Opus 4.1 measured
LMArena Text: business and finance1406Not measuredOnly Claude Opus 4.1 measured
FACTS Benchmark Suite40.4%Not measuredOnly Claude Opus 4.1 measured
PRBench Finance35.2%Not measuredOnly Claude Opus 4.1 measured
PRBench Legal34.0%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Web design benchmarks for Claude Opus 4.1 and Hy-MT2-30B-A3B
BenchmarkClaude Opus 4.1Hy-MT2-30B-A3BLeader
Design Arena: websites1176Not measuredOnly Claude Opus 4.1 measured
Design Arena: UI components1162Not measuredOnly Claude Opus 4.1 measured
Design Arena: game dev1171Not measuredOnly Claude Opus 4.1 measured
Design Arena: data viz1166Not measuredOnly Claude Opus 4.1 measured
Design Arena: 3D1152Not measuredOnly Claude Opus 4.1 measured
Design Arena: all code categories1170Not measuredOnly Claude Opus 4.1 measured
Design Arena: SVG1151Not measuredOnly Claude Opus 4.1 measured
Design Arena: ASCII art1167Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index23 boards measured
General benchmarks for Claude Opus 4.1 and Hy-MT2-30B-A3B
BenchmarkClaude Opus 4.1Hy-MT2-30B-A3BLeader
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
DTBench80.0%Not measuredOnly Claude Opus 4.1 measured
LMCA37.1%Not measuredOnly Claude Opus 4.1 measured
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text1419Not measuredOnly Claude Opus 4.1 measured
LMArena Text: instruction following1435Not measuredOnly Claude Opus 4.1 measured
LMArena Text: creative writing1412Not measuredOnly Claude Opus 4.1 measured
LMArena Text: English1433Not measuredOnly Claude Opus 4.1 measured
LMArena Text: non-English1405Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Chinese1427Not measuredOnly Claude Opus 4.1 measured
LMArena Text: German1413Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Japanese1377Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Korean1381Not measuredOnly Claude Opus 4.1 measured
LMArena Text: French1433Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Spanish1448Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Russian1422Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Polish1413Not measuredOnly Claude Opus 4.1 measured
LMArena Text: multi-turn1444Not measuredOnly Claude Opus 4.1 measured
LMArena Text: longer queries1455Not measuredOnly Claude Opus 4.1 measured
LMArena Text: writing and language1418Not measuredOnly Claude Opus 4.1 measured
LMArena Text: entertainment and media1398Not measuredOnly Claude Opus 4.1 measured
MultiChallenge57.2%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 25 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

Claude Opus 4.1$0.052Fits in one request
Hy-MT2-30B-A3B$0.0002Fits in one request

Hy-MT2-30B-A3B costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
Hy-MT2-30B-A3B$0.0046Exceeds the context window

Hy-MT2-30B-A3B costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
Hy-MT2-30B-A3B$0.018Exceeds the context window

Hy-MT2-30B-A3B 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 Claude Opus 4.1 and Hy-MT2-30B-A3B
SpecificationAnthropic Claude Opus 4.1Tencent Hy-MT2-30B-A3B
MakerAnthropicTencent
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2025August 20, 2026
Context window200K8K
Input $/Mtok$15.00$0.074
Output $/Mtok$75.00$0.295
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than Hy-MT2-30B-A3B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for a larger context window (200K against 8K tokens).

Which is cheaper, Claude Opus 4.1 or Hy-MT2-30B-A3B?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Hy-MT2-30B-A3B costs $0.074 and $0.295. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or Hy-MT2-30B-A3B?

Claude Opus 4.1, with 200K tokens against 8K.

Has any benchmark tested both Claude Opus 4.1 and Hy-MT2-30B-A3B?

No benchmark has tested both yet. Claude Opus 4.1 has results on LMArena WebDev, LiveCodeBench (Vals AI) and Terminal-Bench; Hy-MT2-30B-A3B has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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