Claude Opus 4.7 vs Gemini 4 Argon
Anthropic · US | Google · US · Updated June 2026
Quick verdict
Pick Claude Opus 4.7 for long-running agentic coding workflows or precise instruction following. Pick Gemini 4 Argon for 1,048,576-token unified context shared by input, thinking and output, with 'long decode' for very long responses or google-reported deepswe v1.1 of 77.9% and lvbench long-video understanding of 91.7%. On a tight budget at scale, Gemini 4 Argon is the value pick.
Claude Opus 4.7 (Anthropic) and Gemini 4 Argon (Google) are two of the models people most often weigh against each other in 2026. Claude Opus 4.7 is the agentic-coding-focused Opus that traded some long-context recall for long-run reliability. Gemini 4 Argon is google's Gemini 4 Argon, broadly available October 13, 2026 - a 1M-context model at $2/$10 introductory pricing (doubling December 1). They diverge most on price and context window — each quantified below from the models' real specs.
Key differences at a glance
- ▸Price: Gemini 4 Argon is about 2.5× cheaper on input ($2/$10 per 1M tokens vs $5/$25 per 1M tokens) — meaningful once you are processing millions of tokens a month.
- ▸Context window: 1M vs 1M tokens — within a few percent of each other, so treat this as a tie and test on your own long inputs, since usable recall varies by model.
- ▸Recency: Gemini 4 Argon is the newer model by about 6 months (released October 13, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
| Spec | Claude Opus 4.7 | Gemini 4 Argon |
|---|---|---|
| Provider | Anthropic (US) | Google (US) |
| Released | April 16, 2026 | October 13, 2026 |
| Context window | 1M (~1,500 pages) | 1M tokens (~1,573 pages) |
| Price (in/out) | $5/$25 per 1M tokens | $2/$10 per 1M tokens |
| Open weight? | No — API only | No — API only |
| Modalities | text, image, code | text, image, audio, video, code |
| SWE-Bench Verified | 87.6% | Not published |
| MRCR v2 @ 1M | Not published | Not published |
Who wins what
Long-running agentic coding workflows
Claude Opus 4.7
Claude Opus 4.7 lists long-running agentic coding workflows among its strengths; Gemini 4 Argon does not.
Precise instruction following
Claude Opus 4.7
Claude Opus 4.7 lists precise instruction following among its strengths; Gemini 4 Argon does not.
Task budgets and effort tiers
Claude Opus 4.7
Claude Opus 4.7 lists task budgets and effort tiers among its strengths; Gemini 4 Argon does not.
1,048,576-token unified context shared by input, thinking and output, with 'long decode' for very long responses
Gemini 4 Argon
Claude Opus 4.7 is comparatively weak here — long-context recall regressed vs 4.6
Google-reported DeepSWE v1.1 of 77.9% and LVBench long-video understanding of 91.7%
Gemini 4 Argon
Google's Gemini 4 Argon, broadly available October 13, 2026 - a 1M-context model at $2/$10 introductory pricing (doubling December 1) — and it runs cheaper at $2/$10 per 1M tokens.
Artificial Analysis Intelligence Index of 53 at high effort (AI Weekly)
Gemini 4 Argon
Google's Gemini 4 Argon, broadly available October 13, 2026 - a 1M-context model at $2/$10 introductory pricing (doubling December 1) — and it is the newer of the two.
Lowest cost at scale
Gemini 4 Argon
At $2/$10 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Gemini 4 Argon
At $2/$10 per 1M tokens it undercuts Claude Opus 4.7, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Gemini 4 Argon
Larger 1M tokens window fits more in one prompt.
Anyone whose priority is long-running agentic coding workflows
→ Claude Opus 4.7
It is specifically built for that.
Anyone whose priority is 1,048,576-token unified context shared by input, thinking and output, with 'long decode' for very long responses
→ Gemini 4 Argon
That is its strongest area.
Claude Opus 4.7: where it fits
The agentic-coding-focused Opus that traded some long-context recall for long-run reliability. Released April 16, 2026 by Anthropic, it is built for long-running agentic coding workflows, precise instruction following, task budgets and effort tiers, and large-codebase operation.
Its trade-offs are real: long-context recall regressed vs 4.6, and superseded by Opus 4.8. At $5 in / $25 out per million tokens, it sits in the premium price band.
Gemini 4 Argon: where it fits
Google's Gemini 4 Argon, broadly available October 13, 2026 - a 1M-context model at $2/$10 introductory pricing (doubling December 1). Released October 13, 2026 by Google, it is built for 1,048,576-token unified context shared by input, thinking and output, with 'long decode' for very long responses, google-reported DeepSWE v1.1 of 77.9% and LVBench long-video understanding of 91.7%, and artificial Analysis Intelligence Index of 53 at high effort (AI Weekly).
Its trade-offs: introductory $2/$10 pricing ends November 30; from December 1 it doubles to $4/$20, verbose: about 62K output tokens per Artificial Analysis task, so cost per task is high, and announced September 30 for trusted cyber defenders only; broad paid-tier availability followed October 13 (not on the free tier). At $2 in / $10 out per million tokens, it sits in the mid price band.
The bottom line for this matchup
Claude Opus 4.7 and Gemini 4 Argon overlap enough that the right pick depends on your specific job. Gemini 4 Argon costs less per token; Gemini 4 Argon holds the larger context; and each leads in its own area — Claude Opus 4.7 for long-running agentic coding workflows, Gemini 4 Argon for 1,048,576-token unified context shared by input, thinking and output, with 'long decode' for very long responses. Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Claude Opus 4.7 and Gemini 4 Argon without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.
See pricingFrequently asked questions
Is Claude Opus 4.7 or Gemini 4 Argon better for coding?
Public SWE-Bench figures are not available for Gemini 4 Argon, so the honest test is your own repository — run an identical real bug through both. By design, Claude Opus 4.7 leans toward long-running agentic coding workflows while Gemini 4 Argon leans toward 1,048,576-token unified context shared by input, thinking and output, with 'long decode' for very long responses, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Claude Opus 4.7 or Gemini 4 Argon?
Gemini 4 Argon is cheaper — $5/$25 per 1M tokens vs $2/$10 per 1M tokens, roughly 2.5× apart on input.
Which has the bigger context window?
Effectively neither — 1M vs 1M tokens is a difference of a few percent. Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both Claude Opus 4.7 and Gemini 4 Argon together?
Yes — a multi-model platform like LumiChats gives you Claude Opus 4.7, Gemini 4 Argon and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, Claude Opus 4.7 or Gemini 4 Argon?
Gemini 4 Argon — released October 13, 2026, about 6 months after Claude Opus 4.7.
Related comparisons
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.