GPT-4o-class coding quality at under $0.30/1M — the best value in the directory.
87
Coding
74
Writing
80
Research
10
Images
96
Value
62
Long Context
Published benchmarks
42%
SWE-bench
1,305
Arena Elo
88.5%
MMLU
59.1%
GPQA
90.2%
MATH
Use this when
Coding, reasoning, and general tasks at extreme cost efficiency
Skip this if
Your team has data sovereignty requirements or needs enterprise-grade reliability guarantees.
Pricing
$0.27/1M in
$1.10/1M out
→0%since May 2026
Context
128k tokens
Speed
Fast
DeepSeek V3 shocked the market on release. At this price point with this capability level, it forces a reconsideration of when premium models are actually worth it.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Compare alternatives
Similar models worth checking before you commit.
AnthropicPremium
Anthropic: Claude 3.5 Sonnet
Claude 3.5 Sonnet is Anthropic's mid-cycle flagship model, balancing strong reasoning, coding, and instruction-following with a 200K context window. It sits between Haiku and Opus in Anthropic's lineup, offering near-flagship quality at a lower cost than top-tier models.
Verdict
One of the best models for coding and complex instruction-following, but its premium pricing demands premium use cases.
Quality score
81%
Pricing
$6.00/1M in
$30.00/1M out
Speed
Balanced
Best for complex coding tasks, multi-step reasoning, and long-document analysis where gpt-4o-class quality is needed without paying for the absolute top tier.
Context
200k tokens
Pricing at $6 input / $30 output per million tokens is significantly higher than GPT-4o ($2.50/$10). Best accessed via Anthropic API or Amazon Bedrock. Claude 3.5 Sonnet (October 2024 version) supersedes the June 2024 release with improved performance.
Claude Opus 4 is Anthropic's most capable flagship model, designed for complex reasoning, nuanced writing, and sophisticated multi-step tasks. It sits at the top of the Claude 4 family, prioritizing depth and quality over speed.
Verdict
Anthropic's best model for when quality matters more than speed or cost.
Quality score
84%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
Best for demanding professional tasks requiring deep reasoning, nuanced judgment, and high-quality long-form output.
Context
200k tokens
At $15 input / $75 output per 1M tokens, Opus 4 is one of the most expensive models available. Anthropic recommends using Claude Sonnet 4 for most production use cases and reserving Opus 4 for tasks explicitly requiring maximum capability.
FlagshipPremiumReasoningLong ContextAgentic
Best for
Demanding professional tasks requiring deep reasoning, nuanced judgment, and high-quality long-form output.
Claude Opus 4.1 is Anthropic's top-tier flagship model, designed for the most demanding tasks requiring deep reasoning, nuanced writing, and complex multi-step analysis. It sits at the apex of the Claude 4 family, prioritizing capability over cost and speed.
Verdict
Anthropic's most capable model for demanding professional work, but its steep output cost demands justification.
Quality score
83%
Pricing
$15.00/1M in
$75.00/1M out
Speed
Deliberate
Best for high-stakes professional work where output quality justifies premium pricing — legal analysis, advanced research synthesis, and complex agentic workflows.
Context
200k tokens
Output pricing at $75/1M tokens is among the highest in the market — nearly 3x GPT-4.1's output cost. Batch API discounts may be available through Anthropic. Context window is 200K but very long prompts at Opus pricing can become extremely expensive quickly. Note: supersedes field lists Claude 4 Haiku, which is likely a data error — Opus 4.1 more logically succeeds Claude Opus 4.
FlagshipPremiumReasoningLong ContextAgentic
Best for
High-stakes professional work where output quality justifies premium pricing — legal analysis, advanced research synthesis, and complex agentic workflows.
DeepSeek V3 is best for coding, reasoning, and general tasks at extreme cost efficiency. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and fast speed.
When should I avoid DeepSeek V3?
Your team has data sovereignty requirements or needs enterprise-grade reliability guarantees.
What is a cheaper alternative to DeepSeek V3?
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
What is a faster alternative to DeepSeek V3?
Anthropic: Claude 3.5 Sonnet is the better pick when response time matters more than maximum depth or premium quality.
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