Open-weight models have closed the gap with frontier closed models significantly in 2026. Llama 4 Maverick is competitive with GPT-5.4 on coding at zero API cost. Mistral Large 2 punches above its weight on instruction following. DeepSeek V3 and R1 are the strongest open-weight models for reasoning-heavy tasks.
The safest this comparison default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Llama 4 Maverick is the strongest answer here for this comparison — pick it when quality of output matters more than the $0.60/1M/1M input you pay for it.
DeepSeek V3 handles the same job for about 38% less per token. Start here and only move up if the output is not good enough.
Mistral Small 3.1 is the fastest of these for this comparison — worth it when latency is what the reader notices, not the last few points of reasoning depth.
Llama 4 Maverick is the most capable open-weight model for coding and writing in 2026.
DeepSeek V3 and R1 are the strongest open-weight options for complex reasoning and research.
Mistral Large 2 is preferred in Europe for data-residency and compliance-conscious deployments.
Choose Llama 4 Maverick for the best open-weight balance of coding, writing, and reasoning quality.
Choose DeepSeek R1 when chain-of-thought reasoning, math, or science tasks dominate your workload.
Choose Mistral Large 2 when self-hosting in the EU or when Mistral's Apache-licensed weights are preferred.
Switch the scoring lens to see whether the this comparison answer changes when cost, speed, or long-document depth leads the decision.
DeepSeek / Budget / Mar 24, 2026
GPT-4o-class coding quality at under $0.30/1M — the best value in the directory.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
Your team has data sovereignty requirements or needs enterprise-grade reliability guarantees.
Where the this comparison recommendation shifts once you weigh price or latency differently.
Best flexible option for teams that need open-weight portability.
Best open-weight long-context option for self-hosted pipelines.
GPT-4o-class coding quality at under $0.30/1M — the best value in the directory.
Open-source o1-class reasoning at a fraction of the cost.
Best balanced generalist for EU teams with data residency needs.
Ultra-cheap multimodal model for massive-volume, low-complexity pipelines.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| Llama 4 MaverickMeta | $0.60/1M | $1.60/1M | $9.20 | 256k tokens | Fast | 58 | 66 | 64 |
| Llama 4 ScoutMeta | $0.50/1M | $1.20/1M | $7.40 | 512k tokens | Fast | 54 | 60 | 78 |
| DeepSeek V3DeepSeek | $0.27/1M | $1.10/1M | $4.90 | 128k tokens | Fast | 87 | 74 | 80 |
| DeepSeek R1DeepSeek | $0.55/1M | $2.19/1M | $9.88 | 128k tokens | Deliberate | 84 | 60 | 89 |
Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.
Why each one is on the shortlist for this comparison, what it is genuinely good at, and where we would steer you away from it.
The default answer for this comparison — 66/100 on the writing axis, and the model we would start with unless the price below rules it out.
Flexible open-weight model for teams that want control, portability, and solid general-purpose performance.
You want the strongest hosted answer quality — closed frontier models win on benchmarks.
Best when infrastructure control and open-weight flexibility matter more than absolute peak quality.
Full pricing, benchmark table and release notes on the Llama 4 Maverick page.
Also worth a look for this comparison, at 60/100 on the writing axis.
Long-window open-weight model that handles large document sets at a low price point.
You want a hosted solution — Gemini 3.1 Flash gives more context for roughly the same cost.
A compelling pick for self-hosted long-context pipelines — but Gemini 3.1 Flash now offers 1M context hosted at a similar price.
Full pricing, benchmark table and release notes on the Llama 4 Scout page.
The cost-conscious pick for this comparison, about 38% less per token than Llama 4 Maverick than the top choice while holding 74/100 on writing.
GPT-4o-class coding quality at under $0.30/1M — the best value in the directory. Full DeepSeek V3 review →
Rounds out the shortlist for this comparison at 60/100 on writing.
Open-source o1-class reasoning at a fraction of the cost. Full DeepSeek R1 review →
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Llama 4 Maverick (Meta) is the best general-purpose open-weight model for most tasks. DeepSeek V3 is the strongest for complex reasoning. Both are available for free via Groq and Together AI.
For most tasks, Llama 4 Maverick comes close to GPT-5.4 on coding and writing. The gap is most apparent on complex agentic tasks and extreme context lengths where closed frontier models still lead.
Groq (very fast), Together AI, Fireworks AI, and Replicate all host major open-weight models with free or cheap tiers. For local use, Ollama supports Llama 4, Mistral, and DeepSeek on consumer hardware.