Grok 4 vs Claude Opus 4.7 vs Gemini 2.5 Pro for Coding (2026 Update): Benchmarks, Pricing, Real Workflows

Updated June 2026 with Claude Opus 4.8 (May 28, 2026), Grok 4.3 (April 30, 2026), and Google’s now-shipped Gemini 3.1 Pro; Grok 4.5 and Gemini 3.5 Pro are imminent.

The “best AI for coding” question in 2026 keeps coming back to three flagship model lines — Grok from xAI, Claude Opus from Anthropic, and Gemini Pro from Google. They have different strengths, very different pricing, and the leaderboards keep moving. Most articles on this topic still cite the original July 2025 Grok 4 launch numbers; they’re nearly a year out of date. This is the current head-to-head, with sources, real workflow notes, and a clear decision framework.

2026 update (June 2026)

This comparison keeps the three slug models — Grok 4, Claude Opus 4.7, and Gemini 2.5 Pro — as its anchor, but the frontier moved again since the May refresh. Here is what is current as of late June 2026:

• Claude Opus 4.8 shipped May 28, 2026. It builds on Opus 4.7 with gains across coding, agentic tasks, and knowledge work — at the same price ($5 input / $25 output per million tokens). It scores 84% on Online-Mind2Web (browser/computer-use), reasons over PDFs and diagrams at roughly 61% lower token cost than 4.7, and adds higher “extra” and “max” effort tiers for hard, long-running work. Opus 4.8 is now Anthropic’s current Claude coding model; throughout this piece, read “Opus 4.7” as the live “Opus 4.8” while we keep the published 87.6% SWE-bench Verified figure attributed to its predecessor (verify the exact 4.8 figure against the system card). Full background in our Claude Opus complete guide.
• Opus is no longer Anthropic’s top tier. A new frontier lineup — Claude Fable 5 and Claude Mythos 5 — now sits above Opus at $10/$50 per million tokens. Opus 4.8 remains the price-sane choice for most coding; Fable/Mythos are for the hardest reasoning.
• Grok 4.3 is still xAI’s public default. xAI’s docs (updated May 29, 2026) still recommend grok-4.3 as the most-intelligent, fastest general/coding model. Grok 4.5 — built on xAI’s 1.5-trillion-parameter V9 foundation (vs Grok 4.3’s 0.5T V8) — entered private beta in late June 2026, with public release imminent.
• Gemini 3.1 Pro is now Google’s shipped GA flagship for coding (no longer a preview). Gemini 3.5 Pro is imminent — Google has targeted a July 2026 launch and it is currently in Arena/preview testing, with an expected 2M–3M-token context window and major coding gains. Treat 3.5 Pro numbers as not-yet-GA chatter until launch.

None of this changes the core decision framework below — it sharpens it. If you want the absolute latest Anthropic model, substitute Opus 4.8 wherever this piece says Opus 4.7.

TL;DR — pick in 90 seconds

• Backend reasoning, architecture, agentic planning → Grok 4.3.
• Frontend taste, multi-file refactor safety, SWE-bench Verified leader → Claude Opus 4.8 (its predecessor Opus 4.7 holds the published 87.6%).
• Long-context refactor, multimodal, cheapest at very long context → Gemini 2.5 Pro (with Gemini 3.1 Pro now GA).
• Hybrid stack (planner + implementer) → Grok 4.3 plans, Claude Opus 4.8 implements. Most senior teams are running this pattern by mid-2026.

The 2026 model landscape — what changed since 2025

Grok

• Grok 4 launched July 9, 2025: 256K context, $3 input / $15 output per million tokens, doubled pricing past 128K.
• Grok 4.3 launched April 30, 2026: 1M context, $1.25 input / $2.50 output per million tokens, ~71 tokens/sec output. xAI still recommends grok-4.3 as the default (docs updated May 29, 2026). Grok 4.5 (1.5T V9 foundation) is in private beta with public release imminent.

Claude

• Opus 4.6: 1M context, $5/$25 per million tokens, 95% HumanEval, 91.3% GPQA Diamond, 65.4% Terminal-Bench 2.0, 80.8% SWE-bench Verified peak.
• Opus 4.7 (May 2026): SWE-bench Verified leader at 87.6%, 64.3% on SWE-bench Pro, $5/$25 per million tokens. See Codersera’s Claude Opus complete guide.
• Opus 4.8 (May 28, 2026): the current Anthropic coding model. Improves on 4.7 across coding and agentic tasks at the same $5/$25 pricing, with 84% Online-Mind2Web computer-use and new “extra”/“max” effort tiers. (Check the system card for the exact SWE-bench Verified figure before quoting one.)
• Fable 5 / Mythos 5: Anthropic’s new frontier tier above Opus, at $10/$50 per million tokens.
• Sonnet 4.6: 79.6% SWE-bench Verified at $3/$15 per million tokens — the workhorse choice.

Gemini

• Gemini 2.5 Pro: 1M context (2M roadmapped), $1.25/$10 per million tokens, 2× input surcharge above 200K tokens, 70.4% LiveCodeBench v5, ~78% SWE-bench Verified after the 2026 refresh.
• Gemini 3.1 Pro: now Google’s shipped GA flagship for coding — 80.6% SWE-bench Verified, ~54% SWE-bench Pro.
• Gemini 3.5 Pro (imminent): in Arena/preview testing with a July 2026 launch target; an expected 2M–3M-token context window and major coding gains. Not yet GA as of late June 2026 — treat the numbers as pre-launch chatter.

Head-to-head benchmark table

Sources: lmcouncil.ai benchmarks, Artificial Analysis Grok 4.3, xAI docs, Anthropic pricing, the Claude Opus 4.8 release (May 28, 2026), and Morph LLM benchmark roundup. Numbers marked “vendor” come from xAI’s own marketing — treat with appropriate skepticism.

The picture: Claude Opus 4.7 holds the published SWE-bench Verified lead at 87.6% (and Opus 4.8 builds on it). Grok 4.3 is the price/performance leader. Gemini 2.5 Pro is the cheapest at very long context (until you cross the 200K input surcharge), with Gemini 3.1 Pro now the shipped Google flagship.

Pricing and total cost of ownership

Pricing note (June 2026): Anthropic’s live pricing page shows Opus 4.5, 4.6, 4.7, and 4.8 all at $5 input / $25 output per million tokens — an earlier version of this page priced Opus 4.6 at $15/$75, which is no longer correct. Opus “fast” mode is $10/$50 and the batch API is 50% off.

A real “coding day” worked example

Assume 30 PRs per day, each averaging 50K input tokens and 5K output tokens (a typical refactor diff size). Daily cost per model:

Grok 4.3 wins on raw token economics. The trap: if a cheaper model retries 3× on a hard task and a more expensive model gets it on the first try, the “cheaper” model is actually more expensive. Cost per delivered ticket is the real metric, not cost per million tokens. Now that Opus 4.8 is $5/$25 (not the $15/$75 some older guides still quote), its premium over Sonnet is modest — and it pays for itself whenever the alternative is shipping the wrong thing.

Context windows — and what they actually mean for coding

Every flagship now ships a 1M-token window (Grok 4.3, Claude Opus 4.6–4.8, Sonnet 4.6, Gemini 2.5 Pro), and Gemini 3.5 Pro is expected to push to 2M–3M when it lands. The old Grok 4 sits at 256K. But raw context size hides two things:

• Effective vs nominal context. “Lost in the middle” research consistently shows that retrieval accuracy at 800K+ is much worse than at 100K, even when the window technically supports it. Always test your specific workload before relying on the headline number.
• Pricing tiers. Grok 4 doubles pricing past 128K. Gemini 2.5 Pro doubles input pricing past 200K. A 600K-token codebase Q&A can cost 2–4× the headline rate if you’re not paying attention.

Coding workflow head-to-heads

Beyond benchmarks, here’s where each model lands in real engineering work:

Bug fix on a real open-source repo

Claude Opus 4.8 wins. SWE-bench Verified is built on this exact pattern, and Opus 4.7’s 87.6% (which 4.8 improves on) reflects how well the line lands a working diff on the first attempt. Grok 4.3 is competitive when the bug is well-described; it can struggle when the issue requires reading across many files for context.

Multi-file React refactor (component extraction)

Claude Opus 4.8 again — frontend “taste” and consistency across files matters here, and Anthropic’s models reliably make matching changes in adjacent components. Cursor’s Composer is also strong for this if you’re already in Cursor.

Generate Jest tests from a Python service spec

Roughly equivalent across all three flagships. Gemini 2.5 Pro is the value pick if you’re generating large test batches and cost matters.

Long-context: 600K-token codebase Q&A

Gemini 2.5 Pro for cost; Claude Opus or Sonnet for accuracy. Beware Gemini’s 200K input surcharge — at 600K, you’re paying 2× input rate. When Gemini 3.5 Pro’s 2M–3M window ships, this is the category it is built to win.

Agentic terminal task (run/repair loop)

Grok 4.3 and Claude Sonnet 4.6 are the practical picks. xAI’s vendor-reported 99% tool-calling accuracy lines up with what we see in practice — Grok 4.3 reliably picks the right tool. Claude Sonnet 4.6 has the deepest CLI ecosystem (Claude Code, sub-agents, hooks), and Opus 4.8’s 84% Online-Mind2Web score makes it the strongest of the line at browser/computer-use loops.

Frontend-from-Figma

Claude Opus 4.8 wins on output quality. Gemini 2.5 Pro wins on cost if you’re generating dozens of variants.

IDE and agent-harness integration

Most agent harnesses default to Claude for code edits and Grok or Gemini for long-context analysis. If your team has standardized on a specific harness, pick the model with first-class support there.

Related comparisons: Cursor Composer vs Claude Code vs Codex vs Gemini CLI (IDE/CLI harness head-to-head) and Claude Code vs OpenAI Codex (the two leading terminal coding agents).

Strengths and weaknesses — honest version

Where Grok 4.3 wins

• Tool-calling accuracy — agentic loops “just work.”
• Reasoning depth on architectural problems and abstract specs.
• Price/performance — by some distance the best ratio of token cost to capability.
• Speed — ~71 tokens/sec output, faster than Opus and Sonnet.

Where Claude Opus 4.8 wins

• SWE-bench Verified — the benchmark that most closely resembles real engineering work (the line’s 87.6% peak came from Opus 4.7; 4.8 builds on it).
• Frontend “taste” — design decisions, component organization, idiomatic patterns.
• Multi-file refactor safety — minimal collateral damage.
• Computer-use — 84% Online-Mind2Web on Opus 4.8, a meaningful jump over 4.7.
• Ecosystem — Claude Code, MCP-first, sub-agents, hooks, Routines.

Where Gemini 2.5 Pro wins

• Cheapest at moderate context — $1.25 input is hard to beat.
• Multimodal range — audio, video, PDF, batch image inputs.
• Long-context economics until you hit the 200K surcharge line.
• Free-tier coverage via Gemini CLI for individual developers.
• A clear upgrade path — Gemini 3.1 Pro is now GA, and 3.5 Pro (2M–3M context) is imminent.

Decision framework — pick by job-to-be-done

• Backend services, agentic pipelines, well-scoped tasks → Grok 4.3.
• Frontend, design-to-code, complex multi-file refactor → Claude Opus 4.8.
• Legacy refactor / data pipeline / multimodal / very long context → Gemini 2.5 Pro (or Gemini 3.1 Pro now that it’s GA).
• Default / workhorse → Claude Sonnet 4.6 — close to Opus on most benchmarks at one-fifth the price.
• Absolute hardest reasoning, budget no object → Anthropic’s new Fable 5 / Mythos 5 tier ($10/$50), which now sits above Opus.
• Hybrid (planner + implementer) → Grok 4.3 for planning, Claude Opus 4.8 for execution. The pattern of choice for senior teams.

The verdict — and a 2026 benchmark caveat

The pattern that has held all year still holds: Grok 4.3 plans, Claude Opus 4.8 implements. Grok’s reasoning depth and price/performance make it the cheaper, faster choice for architecture and agentic loops; Opus 4.8’s first-try diff accuracy and frontend judgment make it the safer hand on the keyboard. Gemini 2.5 Pro — and now the GA Gemini 3.1 Pro — is the long-context and multimodal value play.

Two things to keep in mind in mid-2026:

• Opus is no longer the ceiling. Anthropic’s new Fable 5 and Mythos 5 tier sits above Opus at $10/$50 per million tokens. For the hardest reasoning you now have a step above Opus 4.8 — at double the price. For everyday coding, Opus 4.8 at $5/$25 remains the sweet spot.
• Read benchmarks critically. A Cursor audit of 731 Opus 4.8 “Max” SWE-bench Pro traces found the headline 87.1% drop to 73.0% once git history and network access were isolated — i.e. a large slice of the score came from retrieval, not independent reasoning. The lesson for 2026: a single leaderboard number rarely captures how a model performs inside your harness, with your tools, on your repo. Pilot on your own tasks before standardizing.

For engineering leaders

The model isn’t the moat — the engineer using it is. A vetted senior dev who knows when to switch from Grok to Claude to Gemini ships dramatically more than a generalist defaulting to whichever model is loudest in the news cycle. With the lineup churning this fast (Opus 4.8, Grok 4.5 in beta, Gemini 3.5 Pro imminent), that judgment compounds. Codersera matches you with vetted remote engineers fluent in modern AI coding workflows.

FAQ

Is Grok 4 better than Claude for coding in 2026?

Depends on the task. For raw reasoning and backend planning, Grok 4.3 is competitive and significantly cheaper. For multi-file refactors and frontend work, the Claude Opus line leads — Opus 4.7 posted 87.6% on SWE-bench Verified, and Opus 4.8 (May 28, 2026) is the current model and improves on it.

What is Grok 4’s context window?

The original Grok 4 ships with 256K tokens. Grok 4.3 (April 30, 2026) extends this to 1M. The imminent Grok 4.5 keeps the large window on a bigger 1.5T foundation.

How much does Grok 4 cost vs Claude Opus and Gemini 2.5 Pro?

Grok 4: $3/$15. Grok 4.3: $1.25/$2.50. Claude Opus 4.6, 4.7, and 4.8: $5/$25 (all the same per-token price). Sonnet 4.6: $3/$15. Gemini 2.5 Pro: $1.25/$10. Anthropic’s new Fable 5 / Mythos 5 tier is $10/$50.

What’s the best AI model for SWE-bench Verified in mid-2026?

Claude Opus 4.7 posted 87.6%, and Opus 4.8 (May 28, 2026) is the current Anthropic model and improves on it. The broader frontier moves fast — OpenAI’s GPT-5.5 family, Anthropic’s new Fable 5 / Mythos 5 tier, and fast-moving open models are all in the mix — so verify against the live leaderboard before standardizing.

Does Grok 4 have a SWE-bench Verified score?

xAI hasn’t published one for Grok 4 itself. LiveCodeBench (79.4%) is the headline coding number. Independent SWE-bench-Verified runs for Grok 4.3 are still sparse.

Which model has the biggest context window?

Tied at 1M tokens today: Grok 4.3, Claude Opus 4.6–4.8, Sonnet 4.6, Gemini 2.5 Pro. Original Grok 4 is 256K. Gemini 3.5 Pro is expected to take the lead with a 2M–3M window when it ships.

Should I use Grok 4 or Claude in Cursor / Claude Code?

Claude Code is Anthropic-native; only Claude models run there. Cursor supports both. Most agent harnesses default to Claude for code edits and Grok or Gemini for long-context analysis.

Is Grok 4 cheaper than Claude Opus 4.7?

Yes — Grok 4.3’s $1.25 input is roughly one-quarter the price of Opus’s $5 input (Opus 4.6, 4.7, and 4.8 all cost $5/$25). On output it’s an even bigger gap ($2.50 vs $25). But cost-per-fixed-ticket depends on retry rate; high-quality models can cost less per delivered feature even at higher per-token rates.

Can I run any of these models locally?

No — all three are closed-weights API-only. For self-hosting, see Codersera’s open-source LLMs and self-hosting pillars.

What changed in Grok 4.3 vs Grok 4?

1M context (vs 256K), 60% lower input price, 83% lower output price, faster output (~71 tok/s). Grok 4.5, in private beta as of late June 2026, moves to a 1.5T V9 foundation.

Methodology and sources

Benchmarks above are pulled from the public leaderboards and vendor releases current as of June 2026. All vendor-reported numbers are flagged as such. Where competitor articles cited the original July 2025 Grok 4 figures, this page uses the April 30, 2026 Grok 4.3 update, the May 2026 Claude Opus 4.7 release, and the May 28, 2026 Claude Opus 4.8 release, plus Google’s now-shipped Gemini 3.1 Pro. The benchmarks landscape moves; expect this article to be refreshed every quarter.

For deeper coverage of each model, see Codersera’s pillar guides on Claude Opus, GPT-5.5, and the broader AI coding agents landscape.