Model comparison
DeepSeek-V3.1-Terminus vs Grok 4.3
DeepSeek-V3.1-Terminus and Grok 4.3 score almost the same on the Noometry Index (43.1 vs 43.8), so choose on price, context window or the category you care about most.
Last verified . 15 shared benchmarks.
DeepSeekSummary
- They share 15 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 5 categories and Grok 4.3 in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.3 leads 35.9 to 26.4.
- The biggest single-benchmark swing is LMCA: 28.6% for DeepSeek-V3.1-Terminus and 38.3% for Grok 4.3.
- DeepSeek-V3.1-Terminus is cheaper at $0.27 / $1 per million input/output tokens, against $1.25 / $2.50 for Grok 4.3.
- Grok 4.3 accepts more context: 1M tokens versus 164K.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1-Terminus | Grok 4.3 | |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 43.1 | 43.8 |
| Released | 2025-09-22 | 2026-04-17 |
| Weights | Open | Proprietary |
| Context window | 164K | 1M |
| Max output | 147K | 30K |
| Input $ / M tokens | $0.27 | $1.25 |
| Output $ / M tokens | $1 | $2.50 |
| Results tracked | 16 | 40 |
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Category by category
Coding Too close to call
DeepSeek-V3.1-Terminus: 42.0 (#113), Grok 4.3: 41.6 (#121)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| SciCode | 40.6% | 47.3% |
| LMArena Coding | 1426 | 1415 |
| ALE-Bench | 745.17 | 944.17 |
| LMArena WebDev | — | 1357 |
| WeirdML | — | 49.9% |
Agentic & Tool Use Not comparable
DeepSeek-V3.1-Terminus: —, Grok 4.3: 27.7 (#99)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| GDP.pdf | — | 8% |
| LMArena Search | — | 1165 |
| Vending-Bench 2 | — | 35.26 |
Reasoning Grok 4.3 leads
DeepSeek-V3.1-Terminus: 26.4 (#133), Grok 4.3: 35.9 (#68)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| CritPt | 1.7% | 8% |
| LMArena Hard Prompts | 1426 | 1396 |
| DTBench | 81.3% | 90.7% |
| LMCA | 28.6% | 38.3% |
| Kagi LLM Benchmark | 57.4% | — |
| NYT Connections (extended) | — | 55.2% |
| Chess Puzzles | — | 25% |
| Epoch Capabilities Index | — | 149.16 |
| ForecastBench | — | 60.3 |
Math Grok 4.3 leads
DeepSeek-V3.1-Terminus: 38.5 (#137), Grok 4.3: 46.0 (#74)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| LMArena Math | 1402 | 1388 |
| FrontierMath (Tiers 1-3) | — | 42.8% |
| FrontierMath Tier 4 | — | 14.6% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| ProofBench | — | 11% |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, Grok 4.3: 52.5 (#62)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| GPQA Diamond | — | 88.8% |
| SimpleQA Verified | — | 33.2% |
| LMArena Expert | — | 1385 |
Multimodal Not comparable
DeepSeek-V3.1-Terminus: —, Grok 4.3: 31.6 (#104)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| LMArena Vision | — | 1229 |
| Blueprint-Bench 2 | — | 0% |
Multilingual DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 52.1 (#92), Grok 4.3: 50.5 (#120)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| LMArena Non-English | 1407 | 1385 |
| LMArena Russian | 1436 | 1399 |
| LMArena Chinese | — | 1422 |
| LMArena French | — | 1412 |
| LMArena German | — | 1395 |
| LMArena Japanese | — | 1379 |
| LMArena Korean | — | 1356 |
| LMArena Spanish | — | 1398 |
Instruction Following DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 74.0 (#106), Grok 4.3: 72.1 (#140)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1366 |
Long Context Too close to call
DeepSeek-V3.1-Terminus: 43.4 (#97), Grok 4.3: 42.5 (#123)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| LMArena Longer Query | 1421 | 1393 |
Writing & Preference DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 61.0 (#92), Grok 4.3: 58.5 (#118)
| Benchmark | DeepSeek-V3.1-Terminus | Grok 4.3 |
|---|---|---|
| LMArena Text | 1419 | 1397 |
| LMArena Creative Writing | 1403 | 1380 |
| LMArena Multi-Turn | 1411 | 1406 |
| EQ-Bench 4 | — | 1075 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than Grok 4.3?
DeepSeek-V3.1-Terminus and Grok 4.3 score almost the same on the Noometry Index (43.1 vs 43.8), so choose on price, context window or the category you care about most.
Which is cheaper, DeepSeek-V3.1-Terminus or Grok 4.3?
DeepSeek-V3.1-Terminus is cheaper. It lists at $0.27 per million input tokens and $1 per million output tokens; Grok 4.3 lists at $1.25 and $2.50.
Is DeepSeek-V3.1-Terminus or Grok 4.3 better for coding?
They score almost the same on coding (42.0 vs 41.6); test both on your own repository before choosing.
Which has the bigger context window?
Grok 4.3 does, with 1M tokens against 164K.
How many benchmarks do DeepSeek-V3.1-Terminus and Grok 4.3 share?
15 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Grok 4.3 has 40.