Model comparison · accepted catalogue facts 2026-10-21

Gemini 3.1 Pro Preview vs Gemini 4 Argon

A quality score or a computable price is missing. This pair has no better-and-cheaper verdict.

Editorial comparison: Google generational trade-off: Gemini 4 Argon vs Gemini 3.1 Pro Preview for capability versus token price Inclusion does not recommend either model.

Gemini 3.1 Pro Preview

LMArena general · Elo · higher is better

Scale starts at 1040 Elo

1480.3

Balanced effective USD / 1M tokens · lower is better

Unknown

Gemini 4 Argon

LMArena general · Elo · higher is better

Scale starts at 1040 Elo

1533.2

Balanced effective USD / 1M tokens · lower is better

Unknown

Price under confirmation since Oct 21, 2026

In-Depth Analysis

Gemini 3.1 Pro Preview vs Gemini 4 Argon: Measured Technical Breakdown

Comprehensive comparison across measured human-preference evaluation, effective production token costs, architectural limits, and migration trade-offs.

Measured Capability (LMArena)

Gemini 4 Argon leads by 52.9 Elo

Gemini 3.1 Pro Preview: 1480.3 ±2.95 · Gemini 4 Argon: 1533.2 ±8.8 Statistically significant preference separation

Cost Comparison Across Canonical Production Workloads

Rates represent effective cost per 1M tokens under standard token blends. Cached prompt reads are factored according to workload context reuse.

Workload & Ratio	Gemini 3.1 Pro Preview	Gemini 4 Argon	Cost Difference	Advantage
Balanced 3 tokens in per 1 out	Separately billed reasoning tokens are not part of this token blend.	Separately billed reasoning tokens are not part of this token blend.	—	Custom quote needed
Summarise Huge input, tiny output	Separately billed reasoning tokens are not part of this token blend.	Separately billed reasoning tokens are not part of this token blend.	—	Custom quote needed
Chat Long cached system prompt	Separately billed reasoning tokens are not part of this token blend.	Separately billed reasoning tokens are not part of this token blend.	—	Custom quote needed
Code gen Output dominates	Separately billed reasoning tokens are not part of this token blend.	Separately billed reasoning tokens are not part of this token blend.	—	Custom quote needed
Agentic Context replayed each turn	Separately billed reasoning tokens are not part of this token blend.	Separately billed reasoning tokens are not part of this token blend.	—	Custom quote needed

Architectural & Operational Specifications

Specification	Gemini 3.1 Pro Preview	Gemini 4 Argon	Operational Note
Context window	1,048,576 tokens	1,048,576 tokens	—
Max output generation	65,536 tokens	943,718 tokens	Gemini 4 Argon allows longer single-turn completions
Base input price	$2.00 / 1M tokens	$4.00 / 1M tokens	Gemini 3.1 Pro Preview input rate is cheaper
Base output price	$12.00 / 1M tokens	$20.00 / 1M tokens	Gemini 3.1 Pro Preview output rate is cheaper
Cached input price	$0.200 / 1M tokens	$0.200 / 1M tokens	—
Reasoning & thinking tokens	Supported; separately billed at $12.00/1M	Supported; separately billed at $20.00/1M	—
Input modalities	audio, file, image, text, video	audio, file, image, text, video	—
Tool calling / function use	Supported	Supported	—
Open weights & licence	Proprietary (proprietary)	Proprietary (API-only)	—
Provider & reseller market	Google · 6 provider offers	Google · 6 provider offers	—

When to Choose Gemini 3.1 Pro Preview

Direct integration with Google tooling and API features.

Risks when moving from Gemini 4 Argon → Gemini 3.1 Pro Preview:

Output limit: 943,718 → 65,536 tokens.

When to Choose Gemini 4 Argon

Higher measured general capability (1533.2 Elo on human evaluation).
Higher maximum completion limit (943,718 tokens).
Direct integration with Google tooling and API features.

Detailed Evidence Passports & Independent Audits

Gemini 3.1 Pro Preview Full model card, pricing ladder & provider offers → Gemini 4 Argon Full model card, pricing ladder & provider offers → Alternatives to Gemini 3.1 Pro Preview Better-and-cheaper dominance audit → Alternatives to Gemini 4 Argon Better-and-cheaper dominance audit →

Compare · model decision

Choose two or three models

Inspect the differences, estimate your workload and keep the evidence. All standard catalogue models are available, including unrated ones.

Catalogue facts
2026-10-21

A · Current or starting modelB · Comparison modelC · Optional third model

2 / 3 selected · 0 requirements

Open public comparison link

Public workload and requirements

These settings are included in the share link. The fixed-request scenario and private evaluation data below are excluded.

Workload Public prompt length (tokens) Required context (tokens) Required output limit (tokens) Required input modality

Tool useReasoningOpen weights

A ↔ B

A quality score or a computable price is missing. This pair has no better-and-cheaper verdict.

Estimated blend: 75% input, 25% output; 0% cached input. Base context tier. Prompt length selects the billing tier. An unlisted cache-read rate uses that tier’s full input rate in this blend; missing required input or output rates prevent an estimate. The fixed-request estimate below validates actual context and output limits and requires a published cache-read rate when cache hits are assumed.

What changes between these models

Quality first, then estimated price. LMArena scores are human-preference measurements, not a benchmark of your application. A missing score is unrated.

Gemini 3.1 Pro Preview · Meets the stated model requirements
Gemini 4 Argon · Meets the stated model requirements

Material differences and unknown evidence. Deltas compare each model with model A. Unknown facts remain visible.
Measured fact	A Gemini 3.1 Pro Preview	B Gemini 4 Argon
LMArena general score (Elo)	1,480.3	1,533.2Δ vs A: +52.9 Elo
Score interval half-width (± Elo)	2.95	8.8Δ vs A: +5.85 Elo
Benchmark reasoning effort	default	high
LMArena document score (Elo)	1,443.9	Unknown
Estimated effective USD / 1M tokens	Unknown	Unknown
Base input USD / 1M tokens	$2	$4Δ vs A: +2 USD/M
Base output USD / 1M tokens	$12	$20Δ vs A: +8 USD/M
Price status	As of the catalogue date	Under confirmation since 2026-10-21
Output limit (tokens)	65,536	943,718Δ vs A: +878,182 tokens
Recorded licence	proprietary	Unknown
Recorded retirement date	Unknown	Unknown

10 shared measured facts

Shared measured facts. Deltas compare each model with model A. Unknown facts remain visible.
Measured fact	A Gemini 3.1 Pro Preview	B Gemini 4 Argon
Base cached-input USD / 1M tokens	$0.2	$0.2Δ vs A: 0 USD/M
Context window (tokens)	1,048,576	1,048,576Δ vs A: 0 tokens
Input modalities	audio, file, image, text, video	audio, file, image, text, video
Tool use	Supported	SupportedΔ vs A: 0
Reasoning	Supported	SupportedΔ vs A: 0
Open weights	Not supported	Not supportedΔ vs A: 0
Model provider	Google	Google
Distinct sellers in the catalogue	1	1Δ vs A: 0
Serving precision differs across offers	Not supported	Not supportedΔ vs A: 0
Retirement evidence	None announced; not a guarantee	None announced; not a guarantee

Provider counts and precision flags describe catalogue offers. They do not establish the precision, availability, region, tool behaviour or limits of your chosen endpoint. Open each model’s provider table before switching.

Complete price ladders and billing conditions

Gemini 3.1 Pro Preview

Estimate unavailable: Separately billed reasoning tokens are not part of this token blend.

Separate reasoning: $12/1M tokens; reasoning-token counts are not modelled here. Rates below are USD per 1M tokens. A threshold selects that whole input/output rate pair.

Input-token threshold	Input	Output	Cached input
Base, up to and including first threshold	$2	$12	$0.2
> 200,000	$4	$18	$0.4

Gemini 4 Argon

Estimate unavailable: Separately billed reasoning tokens are not part of this token blend.

Separate reasoning: $20/1M tokens; reasoning-token counts are not modelled here. Rates below are USD per 1M tokens. A threshold selects that whole input/output rate pair.

Input-token threshold	Input	Output	Cached input
Base, up to and including first threshold	$4	$20	$0.2

Migration preflight · compare each candidate with model A

Keeping Gemini 3.1 Pro Preview is a valid decision. No pairwise comparison certifies a drop-in replacement.

Gemini 3.1 Pro Preview → Gemini 4 Argon

No known model-capability loss

Provider endpoint, serving precision, availability and task success need your own verification. Catalogue model capabilities do not certify an endpoint.

Check alternatives to Gemini 3.1 Pro Preview

Estimate a fixed request shape

Private to this tab unless you save locally or explicitly export private details. These are estimates, not observed invoices. Cross-model token counts and task success are assumptions.

Requests Input tokens per request Output tokens per request Cached share of input (%) Extra attempts per request

0.1 extra attempts means 10 extra full attempts per 100 requests. Cache writes, tool charges, taxes and unlisted charges are excluded.

Gemini 3.1 Pro PreviewEstimated total: unknown Separately billed reasoning tokens are not part of this request shape.
Gemini 4 ArgonEstimated total: unknown Separately billed reasoning tokens are not part of this request shape.

Prompt and output sensitivity · sampled scenarios

Every point recalculates the entire request shape. Tier-boundary samples include one token below, at and above each threshold. Ordering between samples is not guaranteed. Lowest known cost excludes unknown estimates and is not a replacement recommendation.

Vary input; hold output, requests, cache and retries fixed.
Input tokens	Gemini 3.1 Pro Preview	Gemini 4 Argon	Coverage
2,000	unknownSeparately billed reasoning tokens are not part of this request shape.	unknownSeparately billed reasoning tokens are not part of this request shape.	Incomplete
4,096	unknownSeparately billed reasoning tokens are not part of this request shape.	unknownSeparately billed reasoning tokens are not part of this request shape.	Incomplete
32,768	unknownSeparately billed reasoning tokens are not part of this request shape.	unknownSeparately billed reasoning tokens are not part of this request shape.	Incomplete
131,072	unknownSeparately billed reasoning tokens are not part of this request shape.	unknownSeparately billed reasoning tokens are not part of this request shape.	Incomplete
199,999	unknownSeparately billed reasoning tokens are not part of this request shape.	unknownSeparately billed reasoning tokens are not part of this request shape.	Incomplete
200,000	unknownSeparately billed reasoning tokens are not part of this request shape.	unknownSeparately billed reasoning tokens are not part of this request shape.	Incomplete
200,001	unknownSeparately billed reasoning tokens are not part of this request shape.	unknownSeparately billed reasoning tokens are not part of this request shape.	Incomplete

Vary output; hold input, requests, cache and retries fixed.
Output tokens	Gemini 3.1 Pro Preview	Gemini 4 Argon
128	unknownSeparately billed reasoning tokens are not part of this request shape.	unknownSeparately billed reasoning tokens are not part of this request shape.
2,048	unknownSeparately billed reasoning tokens are not part of this request shape.	unknownSeparately billed reasoning tokens are not part of this request shape.
8,192	unknownSeparately billed reasoning tokens are not part of this request shape.	unknownSeparately billed reasoning tokens are not part of this request shape.

Bring your observed evaluation results

JSON is parsed locally. Prompts, filenames, individual responses and extra fields are not retained. Import only aggregate measurements for selected models. Task/version labels do not establish that two evaluations used the same dataset.

Import private evaluation JSON

Expected format

[{"model":"provider/exact-model-id","task":"support-answer","version":"rubric-1","attempts":100,"successes":84,"costUsd":2.4,"latencyMs":950}]

Use the exact catalogue ID. Replace the example values with observed measurements. Omit costUsd or latencyMs when they are unknown. No public score is inferred from these observations.

Keep the decision and its evidence

A portable record retains selected facts, complete tier ladders, public requirements and the publication manifest. It also embeds the full permitted public catalogue to verify the input artifact checksum. Files are larger for this reason (up to 2 MB); local storage is limited to 12 records. Team review is local to this browser; there is no hosted collaboration.

Owner (private) Review date (private) Recorded choice (private) Rationale (private)

Include private review fields, scenario and observations in downloaded files

Store private decision records on this device

Saving is opt-in and includes private review fields. Shared comparison links never include them. Version 1 Check references remain separate and are not overwritten or guessed into this format.

Import a v2 decision JSON file

Saved local decisions · 0

No version 2 decision records are stored in this browser.

Questions this page answers

Is Gemini 3.1 Pro Preview a better-and-cheaper replacement for Gemini 4 Argon?

A quality score or a computable price is missing. This pair has no better-and-cheaper verdict.

Which model is higher rated: Gemini 3.1 Pro Preview or Gemini 4 Argon?

Gemini 4 Argon scores higher on LMArena general (1533.2 ±8.8) compared to Gemini 3.1 Pro Preview (1480.3 ±3.0), a margin of 52.9 Elo points. The measured confidence intervals do not overlap, demonstrating a statistically significant preference lead on human evaluations.

Which model is more cost-effective: Gemini 3.1 Pro Preview or Gemini 4 Argon?

Gemini 3.1 Pro Preview bills reasoning tokens separately; Gemini 4 Argon bills reasoning tokens separately. Direct pricing comparison requires evaluating your specific input/output prompt ratios and reasoning settings.

How do their context windows and generation limits compare?

Both Gemini 3.1 Pro Preview and Gemini 4 Argon provide an identical 1,048,576-token context window. Maximum output generation limits are 65,536 tokens for Gemini 3.1 Pro Preview and 943,718 tokens for Gemini 4 Argon.

What capabilities are lost when switching between Gemini 3.1 Pro Preview and Gemini 4 Argon?

Switching from Gemini 3.1 Pro Preview to Gemini 4 Argon causes no detected architectural capability loss. Conversely, moving from Gemini 4 Argon to Gemini 3.1 Pro Preview involves: Output limit: 943,718 → 65,536 tokens. Run test suites on your specific prompt templates and tool declarations before cutting over production traffic.

Can Gemini 3.1 Pro Preview or Gemini 4 Argon be self-hosted or deployed privately?

Both Gemini 3.1 Pro Preview and Gemini 4 Argon are proprietary cloud models offered via managed API endpoints. Gemini 3.1 Pro Preview is served by Google and 6 catalogue offers, while Gemini 4 Argon is served by Google and 6 catalogue offers.

What is included in this comparison?

Accepted model capabilities, context and output limits, complete price-tier ladders, independent LMArena measurements and missing evidence. Provider endpoint precision and application success still need verification.

Can I compare a different workload or keep a decision record?

Yes. Change the public workload, prompt length and requirements in the comparison workspace. Fixed-request scenarios, aggregate evaluations and review notes stay local unless explicitly exported.

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Gemini 3.1 Pro Preview vs Gemini 4 Argon

Gemini 3.1 Pro Preview vs Gemini 4 Argon: Measured Technical Breakdown

Cost Comparison Across Canonical Production Workloads

Architectural & Operational Specifications

When to Choose Gemini 3.1 Pro Preview

When to Choose Gemini 4 Argon

Detailed Evidence Passports & Independent Audits

Choose two or three models

What changes between these models

Gemini 3.1 Pro Preview

Gemini 4 Argon

Gemini 3.1 Pro Preview → Gemini 4 Argon

Estimate a fixed request shape

Bring your observed evaluation results

Keep the decision and its evidence

Saved local decisions · 0

Questions this page answers