#1
global
GPT-6 Astra
OpenAI · 7 index games
49.0
coding score
+3.1
vs Claude
$10.0 / $50.0
per 1M tokens
1.1M
tokens
Claude alternatives for coding
GPT-6 Astra is the strongest non-Anthropic model in the live coding index, scoring 49.0—3.1 points above the highest-ranked Claude reference. For a complete Claude Code replacement, pair the model with an agent that can inspect repositories, edit files, run tests, and show recoverable diffs.
- Models
- 258
- Coding benchmarks
- 128
- Refresh
- Hourly
- Paid placement
- Never
Migration workspaceRepository · clean
replace-agent.sh
$ inspect current stack
interfaceterminal agentmodelClaude Fable 5toolsread · edit · shell · testcontrolsapprove · diff · revert
$ swap model --keep workflow
GPT-6 AstraSELECTED
coding 49.0+3.1 vs Claude$50.0/M out
$ run migration-suite --same-repo
tests
required
diff
review
cost
measure
rollback
ready
A replacement is the model, agent loop, tools, permissions, context, and recovery—not the model name alone.
Reviewed by Jonathan Chavez · 258 coding models · 128 benchmark records · 8 non-Anthropic alternativesSources & review
Review boundary
Evidence and product documentation reviewed internally by LLM Stats; not independently reviewed by the vendors or an external software-engineering panel.
Scope and disclosure
The model ranking is computed from LLM Stats coding evidence. Coding-agent recommendations are editorial comparisons of documented product workflow and are not scored by the same model index. LLM Stats accepts no payment for ranking position. Read the methodology or report a correction.
Best Claude alternatives for coding, ranked
This table removes Anthropic models from the live coding index, keeps the original global rank, and compares each candidate with the highest-ranked Claude model. It ranks model evidence—not the quality of Codex, Cursor, Copilot, or another finished coding agent.
Claude reference
Claude Fable 5 · global rank #3
45.9 coding score$10.0 / $50.0 per 1M in/out1.0M context
GlobalAlternativeScorevs ClaudeAPI in / outContext
#2
global
GPT-5.6 Sol
OpenAI · 17 index games
46.0
coding score
+0.1
vs Claude
$5.0 / $30.0
per 1M tokens
1.1M
tokens
#5
global
Kimi K3
Moonshot AI · 9 index games
43.4
coding score
-2.5
vs Claude
$3.0 / $15.0
per 1M tokens
1.0M
tokens
#6
global
GLM-5.3
Zhipu AI · 12 index games
43.0
coding score
-2.9
vs Claude
$1.4 / $4.4
per 1M tokens
1.0M
tokens
#7
global
GPT-5.6 Terra
OpenAI · 17 index games
42.4
coding score
-3.5
vs Claude
$2.0 / $12.0
per 1M tokens
1.1M
tokens
#10
global
Muse Spark 1.3
Meta · 3 index games
41.7
coding score
-4.2
vs Claude
$0.10 / $0.20
per 1M tokens
1.0M
tokens
#11
global
DeepSeek-V4-Pro-0813
DeepSeek · 5 index games
41.2
coding score
-4.7
vs Claude
$0.43 / $0.87
per 1M tokens
1.0M
tokens
#12
global
Hy4 preview
Tencent · 11 index games
39.8
coding score
-6.1
vs Claude
Not listed / Not listed
per 1M tokens
—
tokens
Claude alternatives for cost, editor support, and model choice
Claude may still be strong at coding. A switch makes sense when the total workflow no longer fits—not merely because another model wins by a small index margin.
Need stronger model evidence
GPT-6 Astra
Start with the top non-Anthropic model, then compare it against Claude in the same agent harness and repository.
Need lower API cost
Muse Spark 1.3
$0.10 in and $0.20 out per 1M tokens in current LLM Stats data.
Need an IDE workflow
Cursor or GitHub Copilot
Choose based on editor fit, code review, policy controls, model access, and how much agent autonomy you want.
Need provider freedom
OpenCode
An open-source harness can separate the agent interface from the model provider, but you own more configuration and governance.
Claude Code alternatives: Codex, Cursor, Copilot, and OpenCode
Model scores describe the engine. The finished experience also depends on repository indexing, shell access, edit strategy, approvals, checkpoints, background execution, integrations, and plan limits. The model table above does not rank those product layers.
Closest full-agent defaultOpenAI Codex
Surface: Terminal, local app, cloud tasks
Price: Included with eligible ChatGPT plans; team options vary
Codex can read, modify, and run a repository through an OpenAI coding stack, with the work exposed for review.
Model evidence above does not directly score the Codex product or its exact routing.
IDE-first developmentCursor
Surface: Editor, cloud agents, code review
Price: Free; Pro from $20/month
Cursor keeps inline edits, tab completion, model choice, and agent work inside the editor.
Included usage and model costs vary; compare privacy mode and team controls separately.
GitHub-native teamsGitHub Copilot
Surface: Editors, CLI, GitHub, cloud agent
Price: Free; Pro from $10/month
Copilot fits teams whose reviews, repository policy, administration, and daily work already run through GitHub.
Agent, chat, and review usage can consume AI credits; enterprise controls differ by plan.
Open-source, multi-provider harnessOpenCode
Surface: Terminal, desktop, IDE extension
Price: Open-source client; model/API usage separate
OpenCode separates the agent interface from the model vendor; that freedom comes with provider and permission setup.
Operational polish, support, provider terms, and security review remain your responsibility.
Product details and prices were checked September 4, 2026. Follow the official link before purchasing; limits and included model access can change.
Examples from the coding arena
Examples from LLM Stats coding arenas. They illustrate the evaluated output class—not a claim that a named alternative generated a specific image.
Use the same prompt, then inspect the diff.
Visual quality is one task. Repository work also needs correctness, tests, minimal churn, recovery, and reviewability.
Full coding leaderboardCompare code privacy and agent permissions
A Claude Code replacement may read source, terminal output, environment variables, issue context, and test logs. Product plan names are not enough: verify the exact deployment, retention, training, access-control, and network policies that apply to your account.
Code path
01
Repository
source · secrets · history
02
Agent surface
index · tools · terminal
03
Model endpoint
prompt · context · output
The trust boundary changes with local execution, cloud agents, extensions, MCP servers, model hosts, and telemetry. Document the complete path—not only the model provider.
Retention and training
Are prompts, files, tool output, or feedback retained or used for training on this exact plan?
Secrets and permissions
Can the agent read environment variables, credentials, private packages, or unrestricted shell and network resources?
Identity and audit
Do you have SSO, role controls, audit logs, approval gates, and attributable agent actions?
Data location
Which client, index, model endpoint, subprocess, extension, and region receive repository content?
Isolation and recovery
Are tasks sandboxed, are diffs reviewable, and can destructive edits or leaked context be revoked and investigated?
Contract and policy
Do the current terms, DPA, IP protections, subprocessor list, and incident process fit the code being handled?
This checklist does not certify any product. Security documentation and plan terms change; verify them with the vendor and your own security or legal team before sending private code.
Test a Claude alternative on your repository
LLM Stats has not completed the product-level bake-off described here. Run Claude and each candidate on the same locked repository and tasks. Keep the agent harness constant when testing models; keep the model constant when testing agent products.
01
Freeze the baseline
Record Claude model, Claude Code version, plan, instructions, permissions, MCPs, environment, commit, and spend.
02
Stratify six tasks
Repository explanation, bug fix, test repair, feature, refactor, and frontend output—each with acceptance criteria.
03
Equalize access
Use the same files, tools, network policy, dependency cache, time limit, and maximum human interventions.
04
Score the outcome
Tests passed, acceptance criteria, regressions, security issues, diff size, unnecessary churn, and reviewer decision.
05
Measure the work
Wall time, tokens, billed cost, retries, interventions, correction time, and how often the agent gets stuck.
06
Test recovery
Interrupt a task, reject an edit, introduce a failing test, and verify checkpoint, rollback, and useful continuation.
What the ranking cannot decide for you
A coding index measures model evidence. Your decision must also account for the repository, language, dependencies, agent policy, subscription limits, security boundary, and team workflow.
Separate Claude Code from its models+
The product can route models and adds an agent loop, tools, interface, permissions, memory, and recovery. A raw API comparison omits those layers.
A score lead may be uncertain+
Conservative scoring reduces the benefit of sparse evidence, but close positions can still move as more games and benchmarks arrive.
Calculate accepted-task cost+
Caching, reasoning tokens, tool calls, retries, subscriptions, latency, and human correction determine the real cost of accepted work.
Verify the privacy boundary+
The client, model host, telemetry, extensions, network access, secrets handling, and logs all affect the final security posture.
Claude alternatives: cost, models, and compatibility
Short answers that keep model capability, coding-agent workflow, and actual migration cost separate.
What is the best Claude alternative for coding?+
GPT-6 Astra is currently the strongest non-Anthropic model in the LLM Stats coding index. For a full Claude Code replacement, Codex is our practical default for a repository-aware agent, while Cursor is stronger for an IDE-first workflow, GitHub Copilot for GitHub-centered teams, and OpenCode for an open-source multi-provider harness.
What is the cheapest strong alternative to Claude for coding?+
Muse Spark 1.3 has the lowest listed output-token price among the current alternatives shown. Do not choose on token price alone: measure accepted-task cost after retries, tool calls, latency, and correction time.
Is Codex better than Claude Code?+
Not universally. The products differ in model routing, interface, permissions, cloud execution, integrations, limits, and behavior across tasks. Run both on the same repository using the migration protocol above. A model’s coding-index position does not directly rank the finished agent product.
Can Cursor or GitHub Copilot use Claude models?+
Model availability depends on the product, plan, and current provider agreements. This page treats Cursor and Copilot as workflow alternatives even when they can expose Claude, because some users want a different interface rather than a non-Anthropic model. Check each official model list before subscribing.
What is the best open-source Claude Code alternative?+
OpenCode is the clearest fit in this comparison because its official documentation describes an open-source agent available in terminal, desktop, and IDE surfaces with configurable model providers. The model, hosting, and operational security still need separate decisions.