Model comparison
MiniMax M3 vs ZAYA1-8B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: MiniMax M3 #15 (Supported); ZAYA1-8B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. MiniMax M3 and ZAYA1-8B share 0 comparable benchmark results. 1 of 8 categories are comparable. 45 results are unique to MiniMax M3; 11 to ZAYA1-8B.
Updated July 21, 2026- Shared results
- 0
- MiniMax M3 only
- 45
- ZAYA1-8B only
- 11
- Comparable categories
- 1 / 8
Treat this as a split decision. MiniMax M3 makes more sense if mathematics is the priority or you need the larger 1M context window; ZAYA1-8B is the better fit if you want the cheaper token bill or you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
MiniMax M3 and ZAYA1-8B finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
MiniMax M3 is also the more expensive model on tokens at $0.30 input / $1.20 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for ZAYA1-8B. That is roughly Infinityx on output cost alone. ZAYA1-8B is the reasoning model in the pair, while MiniMax M3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. MiniMax M3 gives you the larger context window at 1M, compared with 131K for ZAYA1-8B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | MiniMax M3 | ZAYA1-8B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | MiniMax M3$0.3 input / $1.2 output | ZAYA1-8B$0 input / $0 output | ZAYA1-8B has the lower combined listed price. |
| Generation speedtokens per second | MiniMax M3Not available | ZAYA1-8BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | MiniMax M3Not available | ZAYA1-8BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | MiniMax M31M | ZAYA1-8B131K | MiniMax M3 lists the larger context window. |
Benchmark Deep Dive
Agentic19 benchmarks
| Benchmark | MiniMax M3 | ZAYA1-8B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 66% | — | Not comparable |
| BrowseCompSource | 83.5% | — | Not comparable |
| OSWorld-VerifiedSource | 70.1% | — | Not comparable |
| MCP AtlasSource | 74.2% | — | Not comparable |
| Claw-EvalSource | 74.5% | — | Not comparable |
| AA Agentic IndexSource | 35.4% | — | Not comparable |
| τ²-bench resultsSource | 88.9% | — | Not comparable |
| GDPval-AASource | 44.7% | — | Not comparable |
| GDPval-AASource | 1395 | — | Not comparable |
| GDPval rubricsSource | 74.7% | — | Not comparable |
| BankerToolBenchSource | 76.1% | — | Not comparable |
| ResearchClawBenchSource | 19.8% | — | Not comparable |
| OSWorld 2.0Source | 4.6% | — | Not comparable |
| AA BriefcaseSource | 1110 | — | Not comparable |
| AA EnterpriseOps-GymSource | 32.1% | — | Not comparable |
| AA Harvey LABSource | 88.4% | — | Not comparable |
| terminalBenchHardSource | 42.4% | — | Not comparable |
| aaTerminalBench21Source | 65.2% | — | Not comparable |
| BFCL v4Source | — | 39.2% | Not comparable |
Coding10 benchmarks
| Benchmark | MiniMax M3 | ZAYA1-8B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.5% | — | Not comparable |
| SWE-bench ProSource | 59% | — | Not comparable |
| Terminal-Bench 2.0Source | 66.0% | — | Not comparable |
| NL2RepoSource | 42.1% | — | Not comparable |
| AA Coding IndexSource | 58.6% | — | Not comparable |
| AA-SciCodeSource | 45.4% | — | Not comparable |
| VIBE V2Source | 50.1% | — | Not comparable |
| SVG-BenchSource | 63.7% | — | Not comparable |
| KernelBench HardSource | 28.8% | — | Not comparable |
| LiveCodeBench v6Source | — | 65.8% | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | MiniMax M3 | ZAYA1-8B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 44.4% | — | Not comparable |
| AA-GPQA DiamondSource | 92.9% | — | Not comparable |
| AA-HLESource | 37.1% | — | Not comparable |
| AA-Omniscience IndexSource | 1.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 15.0% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 16.1% | — | Not comparable |
| AA Openness IndexSource | 33.3% | — | Not comparable |
| GPQASource | — | 71% | Not comparable |
| GPQA-DSource | — | 71.0% | Not comparable |
| MMLU-ProSource | — | 74.2% | Not comparable |
MathMiniMax M3 wins5 benchmarks
Multimodal7 benchmarks
| Benchmark | MiniMax M3 | ZAYA1-8B | Result |
|---|---|---|---|
| OfficeQA ProSource | 45.1% | — | Not comparable |
| OmniDocBench 1.5Source | 91.6% | — | Not comparable |
| MMMU-ProSource | 78.1% | — | Not comparable |
| VideoMMMUSource | 84.6% | — | Not comparable |
| Video-MME (with subtitle)Source | 85.4% | — | Not comparable |
| Design Arena WebsiteSource | 1289 | — | Not comparable |
| AA-MMMU-ProSource | 78.6% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, MiniMax M3 or ZAYA1-8B?
MiniMax M3 and ZAYA1-8B are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for math, MiniMax M3 or ZAYA1-8B?
MiniMax M3 has the edge for math in this comparison, averaging 85.7 versus 80.4. ZAYA1-8B stays close enough that the answer can still flip depending on your workload.
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