Model comparison
DeepSeek V3.2 (Thinking) vs MiniMax M3
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: DeepSeek V3.2 (Thinking) unranked; MiniMax M3 #18
BenchAlign evidence: DeepSeek V3.2 (Thinking) estimated; MiniMax M3 supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3.2 (Thinking) and MiniMax M3 share 1 comparable benchmark result. 0 of 8 categories are comparable. 1 result is unique to DeepSeek V3.2 (Thinking); 44 to MiniMax M3.
Updated July 16, 2026- Shared results
- 1
- DeepSeek V3.2 (Thinking) only
- 1
- MiniMax M3 only
- 44
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek V3.2 (Thinking) and MiniMax M3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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.
DeepSeek V3.2 (Thinking) is priced at $0.55 input / $2.19 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M3. MiniMax M3 has the larger context window at 1M, compared with 128K for DeepSeek V3.2 (Thinking).
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | DeepSeek V3.2 (Thinking) | Δ | MiniMax M3 |
|---|---|---|---|
| Agentic | DeepSeek V3.2 (Thinking)Not measured | MarginNo overlap | MiniMax M372.3 |
| Coding | DeepSeek V3.2 (Thinking)Not measured | MarginNo overlap | MiniMax M372.2 |
| Math | DeepSeek V3.2 (Thinking)Not measured | MarginNo overlap | MiniMax M385.7 |
| Multimodal | DeepSeek V3.2 (Thinking)Not measured | MarginNo overlap | MiniMax M364.9 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V3.2 (Thinking) | MiniMax M3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3.2 (Thinking)$0.55 input / $2.19 output | MiniMax M3$0.3 input / $1.2 output | MiniMax M3 has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V3.2 (Thinking)Not available | MiniMax M3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V3.2 (Thinking)Not available | MiniMax M3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V3.2 (Thinking)128K | MiniMax M31M | MiniMax M3 lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | DeepSeek V3.2 (Thinking) | MiniMax M3 | 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 | — | 6.7% | Not comparable |
Coding12 benchmarks
| Benchmark | DeepSeek V3.2 (Thinking) | MiniMax M3 | Result |
|---|---|---|---|
| Vibe Code BenchSource | 5.11% | — | Not comparable |
| 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 |
| Terminal-Bench HardSource | — | 42.4% | 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 |
| AA Terminal-Bench 2.1Source | — | 65.2% | Not comparable |
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | DeepSeek V3.2 (Thinking) | MiniMax M3 | 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 |
Math1 benchmarks
| Benchmark | DeepSeek V3.2 (Thinking) | MiniMax M3 | Result |
|---|---|---|---|
| USAMO 2026Source | — | 85.7% | Not comparable |
Multimodal7 benchmarks
| Benchmark | DeepSeek V3.2 (Thinking) | MiniMax M3 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1208 | 1294 | MiniMax M3 leads |
| 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 |
| AA-MMMU-ProSource | — | 78.6% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V3.2 (Thinking) | MiniMax M3 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 82.9% | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek V3.2 (Thinking) and MiniMax M3 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 DeepSeek V3.2 (Thinking) and MiniMax M3 today?
DeepSeek V3.2 (Thinking): $0.55 input / $2.19 output per 1M tokens MiniMax M3: $0.30 input / $1.20 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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