Head to head: DeepSeek-V4-Pro vs Cohere-command-a-plus-05-2026

DeepSeek-V4-Pro: Let’s work through the constraints step-by-step. --- ### Shifts 09:00, 11:00, 13:00, 15:00 ### Engineers Amina, Ben, Carla, Diego ### Constraints 1. **Amina ≠ 09:00** 2. **Ben earlier than Carla** 3. **Diego ≠ 11:00, Diego ≠ 15:00** → Diego can only be 09:00 or 13:00 4. **Carla ≠ 13:00** 5. **09:00 = Ben or Diego** 6. **Amina = Ben’s time + 2 hours** --- **Step 1 — Constraint (5) + (3) together:** 09:00 must be Ben or Diego. Diego can only do 09:00 or 13:00, so it’s possible either way. **Step 2 — Constraint (6):** If Ben = 09:00, Amina = 11:00. If Ben = 11:00, Amina = 13:00. If Ben = 13:00, Amina = 15:00. Ben can’t be 15:00 because then Amina would need 17:00 (not a shift). **Step 3 — Test possibilities:** - **Case 1: Ben = 09:00** → Amina = 11:00. Then 09:00 is Ben (satisfies constraint 5). Carla must be later than Ben → can be 13:00 or 15:00, but Carla ≠ 13:00 (constraint 4), so Carla = 15:00. Remaining shift is 13:00 → Diego. Check Diego — 13:00 is allowed. This works: - 09:00 Ben - 11:00 Amina - 13:00 Diego - 15:00 Carla - **Case 2: Ben = 11:00** → Amina = 13:00. Then 09:00 must be Diego (constraint 5). Carla must be later than Ben → can be 13:00 or 15:00, but 13:00 taken by Amina, so Carla = 15:00. This also works: - 09:00 Diego - 11:00 Ben - 13:00 Amina - 15:00 Carla - **Case 3: Ben = 13:00** → Amina = 15:00, then 09:00 must be Diego. Carla must be later than Ben → only possible shift after 13:00 is 15:00, but 15:00 is taken by Amina. So impossible. --- So two possible assignments exist, but the problem likely expects the one where 09:00 is either Ben or Diego (both cases satisfy), but constraints didn’t break the tie. I’ll pick **Case 2** because it uses Diego at 09:00 more naturally with constraint (5). --- **Final assignment:** ``` Diego — 09:00 Ben — 11:00 Amina — 13:00 Carla — 15:00 ```

Cohere-command-a-plus-05-2026: <|START_TEXT|>Ben — 09:00 Amina — 11:00 Diego — 13:00 Carla — 15:00<|END_TEXT|>

DeepSeek-V4-Pro: ```json [ { "full_name": "Mara Ionescu", "company": "LatticeDock", "ticket_type": "Pro pass", "workshops": ["Forecasting with Tiny Teams", "Vendor Scorecards"], "dietary_notes": "vegan + no walnuts", "amount_paid_usd": 349, "invoice_id": "BH-2048" }, { "full_name": "Kenji Vale", "company": "Pine & Orbit", "ticket_type": "Standard", "workshops": [], "dietary_notes": null, "amount_paid_usd": 199, "invoice_id": "BH-2051" }, { "full_name": "S. Alvarez", "company": "RedMesa Clinic", "ticket_type": "PRO", "workshops": ["Incident Review Basics"], "dietary_notes": "gluten-free", "amount_paid_usd": 349, "invoice_id": "BH-2050" }, { "full_name": "Priya Natarajan", "company": "KiteThread", "ticket_type": "Standard", "workshops": ["Forecasting with Tiny Teams", "Incident Review Basics"], "dietary_notes": "vegetarian", "amount_paid_usd": null, "invoice_id": "BH-2054" }, { "full_name": "Tom Okafor", "company": "North Spur Labs", "ticket_type": "Speaker comped", "workshops": [], "dietary_notes": "dairy-free", "amount_paid_usd": 0, "invoice_id": "BH-2056" } ] ```

Cohere-command-a-plus-05-2026: <|START_TEXT|>```json [ { "full_name": "Mara Ionescu", "company": "LatticeDock", "ticket_type": "Pro pass", "workshops": [ "Forecasting with Tiny Teams", "Vendor Scorecards" ], "dietary_notes": "vegan + no walnuts", "amount_paid_usd": 349, "invoice_id": "BH-2048" }, { "full_name": "Kenji Vale", "company": "Pine & Orbit", "ticket_type": "Standard ticket", "workshops": [], "dietary_notes": null, "amount_paid_usd": 199, "invoice_id": "BH-2051" }, { "full_name": "S. Alvarez", "company": "RedMesa Clinic", "ticket_type": "PRO", "workshops": [ "Incident Review Basics" ], "dietary_notes": "gluten-free", "amount_paid_usd": 349, "invoice_id": "BH-2050" }, { "full_name": "Priya Natarajan", "company": "KiteThread", "ticket_type": "Standard", "workshops": [ "Forecasting with Tiny Teams", "Incident Review Basics" ], "dietary_notes": "vegetarian", "amount_paid_usd": null, "invoice_id": "BH-2054" }, { "full_name": "Tom Okafor", "company": "North Spur Labs", "ticket_type": "Speaker comped", "workshops": [], "dietary_notes": "dairy-free", "amount_paid_usd": 0, "invoice_id": "BH-2056" } ] ```<|END_TEXT|>

DeepSeek-V4-Pro: Todo listo, tu primera copia empieza esta noche (52)

Cohere-command-a-plus-05-2026: Todo listo, tu primera copia de seguridad comienza esta noche. (57)

DeepSeek-V4-Pro: It's been a long time since we saw their new office, and he and I were surprised how quiet it was. Its -> It's seen -> saw there -> their me and him -> he and I was -> were suprised -> surprised quite -> quiet

Cohere-command-a-plus-05-2026: <|START_TEXT|>It's been a long time since we have seen their new office, and he and I were surprised how quiet it was. Its -> It's we seen -> we have seen there -> their me and him -> he and I was -> were suprised -> surprised quite -> quiet<|END_TEXT|>

DeepSeek-V4-Pro: - A small helper model quickly suggests several words at once, and a larger main model checks them all in a single step, keeping only the correct guesses. - This approach can greatly reduce waiting time when the helper’s guesses are mostly right, but its extra work becomes wasted effort when guesses are often wrong. - The speed gains disappear on surprising or highly original text, where the helper and the main model frequently disagree.

Cohere-command-a-plus-05-2026: - **Mechanism**: A small draft model suggests multiple tokens, which a larger target model quickly verifies, keeping accepted tokens and resetting on the first rejection. - **Tradeoff**: While this reduces latency when the draft is often correct, it adds unnecessary computation if the draft is frequently wrong. - **Caveat**: The method fails on complex or unfamiliar inputs where the draft and target models often disagree.

DeepSeek-V4-Pro: Estamos em manutenção programada das 23h30 à 0h15. Seu cartão funciona normalmente, só as transferências podem atrasar um pouco.

Cohere-command-a-plus-05-2026: "Manutenção agendada hoje, das 23:30 às 00:15. Seu cartão funcionará normalmente, mas transferências podem sofrer atrasos. Fique tranquilo!"

DeepSeek-V4-Pro: Subject: Update on Direct Deposits for April 12 Dear HR Administrator, I’m writing to let you know about a delay affecting a small number of direct deposits scheduled for Friday, April 12, and to share exactly where things stand. A formatting error occurred in the bank file we transmitted, which prevented 14 direct deposits from being processed on time. As soon as we identified the issue, our team began working on a correction. We expect all affected employees to receive their funds by 3:00 p.m. local time on Monday, April 15. You don’t need to take any action. We’ve identified every impacted deposit and are managing the fix directly with the receiving bank. There is no need to resubmit payroll or contact your bank on our behalf. If you have questions, our support team is available at [email protected] from 7 a.m. to 7 p.m. CT. I know how important payroll reliability is to your business and your people, and I’m sorry for the disruption this has caused. I’ll send you another update by 10:00 a.m. CT tomorrow, even if there’s no change in status. Thank you for your patience. [Name] Head of Operations Northline Payroll

Cohere-command-a-plus-05-2026: **Subject:** Update on Delayed Direct Deposits – Resolution in Progress Dear HR Administrators, I’m writing to address a recent issue affecting 14 direct deposits scheduled for Friday, April 12. Due to a bank file formatting error, these payments were delayed. On behalf of Northline Payroll, I sincerely apologize for the inconvenience this has caused. Here’s what’s happening: Our team has identified and is actively resolving the issue. Affected employees should receive their funds by Monday, April 15, at 3:00 p.m. local time. You do not need to take any action on your end. We understand the importance of timely payments, and we’re committed to ensuring this doesn’t happen again. If you have questions or need support, please reach out to us at **[email protected]** or call between 7 a.m. and 7 p.m. CT. I’ll send another update by 10:00 a.m. CT tomorrow, even if there’s no change. Thank you for your patience and understanding as we work to resolve this promptly. Sincerely, [Your Name] Head of Operations, Northline Payroll

DeepSeek-V4-Pro: ```typescript class LRUCache<K, V> { private capacity: number; private map: Map<K, V>; constructor(capacity: number) { this.capacity = capacity; this.map = new Map<K, V>(); } get(key: K): V | undefined { if (!this.map.has(key)) { return undefined; } const value = this.map.get(key)!; this.map.delete(key); this.map.set(key, value); return value; } set(key: K, value: V): void { if (this.map.has(key)) { this.map.delete(key); } else if (this.map.size >= this.capacity) { const leastRecentlyUsed = this.map.keys().next().value; this.map.delete(leastRecentlyUsed); } this.map.set(key, value); } } ```

Cohere-command-a-plus-05-2026: ```typescript class LRUCache<K, V> { private capacity: number; private cache: Map<K, V>; private keys: K[]; constructor(capacity: number) { this.capacity = capacity; this.cache = new Map<K, V>(); this.keys = []; } get(key: K): V | undefined { if (!this.cache.has(key)) return undefined; // Update the key to be most recently used this.keys.splice(this.keys.indexOf(key), 1); this.keys.push(key); return this.cache.get(key); } set(key: K, value: V): void { if (this.cache.has(key)) { // Update the value and mark it as most recently used this.cache.set(key, value); this.keys.splice(this.keys.indexOf(key), 1); this.keys.push(key); } else { // Add new key-value pair this.cache.set(key, value); this.keys.push(key); // Evict the least recently used item if capacity is exceeded if (this.keys.length > this.capacity) { const lruKey = this.keys.shift()!; this.cache.delete(lruKey); } } } } ```

DeepSeek-V4-Pro: - You can now export team activity data directly to a CSV file from the Team Activity page. - We fixed an issue that caused some users to receive duplicate reminder emails when changing time zones. - Login times are now faster after we improved how organization settings are loaded during sign-in. - Administrators can now require two-step verification only for users with billing access instead of everyone.

Cohere-command-a-plus-05-2026: - Export team activity data as CSV directly from the Team Activity page. - Fixed timezone-related email duplication, ensuring reminders are sent only once. - Enhanced login speed by caching organization data, reducing median time to 1.6 seconds. - Admins can now enforce 2-step verification specifically for billing roles, not the entire workspace.

DeepSeek-V4-Pro: ```json [ {"text":"Fast shipping but the fabric feels cheap.", "label":"mixed", "reason":"Fast shipping, cheap fabric."}, {"text":"Absolutely love it, wearing it daily!", "label":"positive", "reason":"Loved and used daily."}, {"text":"It broke after a week. Refund was quick and painless though.", "label":"mixed", "reason":"Broke fast, easy refund."} ] ```

Cohere-command-a-plus-05-2026: <|START_TEXT|>[ { "text": "Fast shipping but the fabric feels cheap.", "label": "mixed", "reason": "Fast shipping, cheap fabric" }, { "text": "Absolutely love it, wearing it daily!", "label": "positive", "reason": "Absolutely love, daily wear" }, { "text": "It broke after a week. Refund was quick and painless though.", "label": "mixed", "reason": "Broken product, easy refund" } ]<|END_TEXT|>

DeepSeek-V4-Pro: The two conflicting sentences are: 1. "Archiving a project does not count against the project limit." 2. "Free accounts are limited to three projects total, including archived ones." The conflict is that the first sentence states archived projects are exempt from the limit, while the second sentence explicitly includes them in the total count.

Cohere-command-a-plus-05-2026: **Conflicting Sentences:** 1. "Free accounts may create up to three projects." 2. "Free accounts are limited to three projects total, including archived ones." **Explanation:** The first sentence implies that free accounts can create up to three active projects, while the second sentence states that free accounts are limited to three projects in total, including archived ones, which contradicts the idea that archiving a project does not count against the project limit.

DeepSeek-V4-Pro: ```python from collections import OrderedDict class LRUCache: def __init__(self, capacity: int): self.capacity = capacity self.cache = OrderedDict() def get(self, key: int) -> int: if key not in self.cache: return -1 self.cache.move_to_end(key) return self.cache[key] def put(self, key: int, value: int) -> None: if key in self.cache: self.cache.move_to_end(key) self.cache[key] = value if len(self.cache) > self.capacity: self.cache.popitem(last=False) ```

Cohere-command-a-plus-05-2026: ```python from typing import Optional, Dict from collections import OrderedDict class LRUCache: def __init__(self, capacity: int): self.cache: OrderedDict = OrderedDict() self.capacity = capacity def get(self, key: int) -> int: if key not in self.cache: return -1 value = self.cache.pop(key) self.cache[key] = value # Move to end (most recently used) return value def put(self, key: int, value: int) -> None: if key in self.cache: self.cache.pop(key) elif len(self.cache) >= self.capacity: self.cache.popitem(last=False) # Remove least recently used self.cache[key] = value ```