Claude Haiku 4 for code completion
Claude Haiku 4 is the #3 pick on LLMDex's llm for code completion ranking out of 6 models we track for this use case. Below, the specific reasons it slots where it does, and when you should reach for an alternative.
Updated
At a glance
- Rank
- #3 of 6
- Context
- 200K tokens
- Output / 1M
- Pricing not published
- Released
- Oct 2025
Why Claude Haiku 4 fits this task
Three things about Claude Haiku 4 that map directly onto what this task rewards: Fast and cheap for an Anthropic model; Inherits Claude's sensible defaults; Vision support included. Beyond the task-specific fit, Claude Haiku 4 also brings fast and cheap for an anthropic model and inherits claude's sensible defaults, both of which compound when the workload broadens.
The criteria this task rewards
LLMDex ranks best llm for code completion on 5 criteria , these are the axes the ranking uses, in priority order:
- P99 latency under 250ms for inline suggestions
- Fill-in-the-middle (FIM) capability
- Accuracy on next-token completion in mid-function context
- Cost per million tokens for high-volume editor traffic
- On-prem / self-host availability for IP-sensitive teams
How Claude Haiku 4 scores on each axis
Where Claude Haiku 4 costs you: quality gap visible on creative tasks. For most teams this is acceptable on this workload, the value of the strengths above outweighs the cost. For cost-bound workloads or teams with strict latency budgets, run an eval against the next two ranked models on real data before committing.
Strengths that pay off here
- Fast and cheap for an Anthropic model
- Inherits Claude's sensible defaults
- Vision support included
Tracked weaknesses
- Quality gap visible on creative tasks
- Less reliable on hard tool-use chains
When to pick something else
If you can pay slightly more or accept slightly different tradeoffs, DeepSeek-V3 from DeepSeek ranks one position higher and tends to win on the hardest cases. DeepSeek's flagship 671B-parameter MoE, frontier-level quality at a tiny fraction of frontier prices.
Run Claude Haiku 4 now
Skip setup. Deploy via a hosted provider in under a minute.
Other models for code completion
- Qwen2.5-Coder-32B for code completion
Open-weight code specialist, frequently the top open option for self-hosted code completion.
Read guide - DeepSeek-V3 for code completion
DeepSeek's flagship 671B-parameter MoE, frontier-level quality at a tiny fraction of frontier prices.
Read guide - GPT-5 mini for code completion
GPT-5's mid-tier sibling, most of the quality at a fraction of the price, ideal for high-volume production workloads.
Read guide - Codestral 2 for code completion
Mistral's code-specialized model, fast inline completion and strong fill-in-the-middle support.
Read guide - GPT-5 nano for code completion
OpenAI's smallest GPT-5 variant, built for ultra-low-cost classification, routing, and high-volume inference.
Read guide
Claude Haiku 4 for other use cases
Direct comparisons
Frequently asked
Is Claude Haiku 4 good for code completion?
Claude Haiku 4 is ranked #3 on LLMDex's code completion list. Anthropic's smallest 4-tier model, fast and cheap with the family's signature tone.How much does Claude Haiku 4 cost for code completion?
Anthropic has not published per-token pricing for Claude Haiku 4 at the time of writing.What's a cheaper alternative to Claude Haiku 4 for code completion?
The next ranked model on this task is GPT-5 mini. Compare both before committing.When should I NOT use Claude Haiku 4 for code completion?
Tracked weakness: Quality gap visible on creative tasks. If that constraint is binding for your workload, the next-ranked model on this task is the safer pick.
Intelligence, distilled weekly.
One short email every Friday, new model launches, leaderboard moves, and pricing drops. Curated by hand. Free, no spam.