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GPT-5.6 Luna Alternatives

Decision and evidence surface verified 2026-08-14.

What is the best alternative to GPT-5.6 Luna?

The closest alternative to GPT-5.6 Luna (OpenAI, $2.25/M blended) is GPT-5.6 Terra, from OpenAI, a drop-in migration priced +150% relative to GPT-5.6 Luna at blended (3:1) rates. There is no meaningful parity loss on this swap.

Verified 2026-08-14

The closest match to GPT-5.6 Luna (OpenAI, $2.25/M) is GPT-5.6 Terra — a drop-in migration at +150% price.

Closest match
GPT-5.6 Terra
drop-in
+150% price. No significant parity loss.
Cheapest alternative
Ministral 8B
config
-93.3% price. Biggest gap: context drops from 1,000,000 to 256,000 tokens.
Fastest alternative
Gemini 3.5 Flash Lite
code-change
-62.2% price. No significant parity loss.

Ranked — top 8 alternatives

#ModelProviderEffortBlended $/M (Δ%)tok/s (Δ%)ContextParityCloseness
1GPT-5.6 TerraOpenAIdrop-in$5.63 (+150%)-38.1%0K100%86
2GPT-5.6 SolOpenAIdrop-in$8.00 (+255.6%)-65.1%0K100%83
3Gemini 3.7 FlashGooglecode-change$1.50 (-33.3%)+49K100%82
4Gemini 3.5 Flash LiteGooglecode-change$0.85 (-62.2%)+28.6%0K100%75
5Gemini 3.6 FlashGooglecode-change$3.00 (+33.3%)-9.5%0K100%73
6Gemini 3.1 ProGooglecode-change$4.50 (+100%)-56.3%+1M100%71
7Ministral 8BMistralconfig$0.15 (-93.3%)+25.4%-744K63%70
8Mistral Small 3.1Mistralconfig$0.26 (-88.3%)-4%-744K63%70

Top 3, in detail

Same provider — change the model string, nothing else.

You gain: Max output grows from 64,000 to 128,000 tokens.

Request diff
Before — OpenAI
base_url: https://api.openai.com/v1
auth: Bearer API key
After — OpenAI
base_url: https://api.openai.com/v1
auth: Bearer API key
sdk: openai
model: "gpt-5.6-terra"

Same provider — change the model string, nothing else.

You gain: Max output grows from 64,000 to 128,000 tokens.

Request diff
Before — OpenAI
base_url: https://api.openai.com/v1
auth: Bearer API key
After — OpenAI
base_url: https://api.openai.com/v1
auth: Bearer API key
sdk: openai
model: "gpt-5.6-sol"
Gemini 3.7 Flashcode-change

contents/parts structure instead of messages; an OpenAI-compatible endpoint exists but only covers a subset of parameters.

You gain: Context grows from 1,000,000 to 1,048,576 tokens; Max output grows from 64,000 to 65,536 tokens.

Request diff
Before — OpenAI
base_url: https://api.openai.com/v1
auth: Bearer API key
After — Google
base_url: https://generativelanguage.googleapis.com/v1beta
auth: API key (header or query param); OAuth/service-account on Vertex AI
sdk: @google/genai
model: "gemini-3.7-flash"

Or don't migrate at all

One base URL, one key, change the model string — every alternative above is already callable through All AI Ask.

curl https://allaiask.com/api/v1/chat \
  -H "Authorization: Bearer $ALLAIASK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "gpt-5.6-terra", "messages": [{"role": "user", "content": "Hello"}]}'

OpenAI gotchas when switching away

  • Reasoning tokens are billed separately from output tokens on Sol and Terra.

Related

GPT-5.6 Luna pricingOpenAI provider hubclaude-opus-4-8 vs GPT-5.6 Lunagpt-4o-mini vs GPT-5.6 LunaBest LLM for Image UnderstandingBest LLM for Long Documents & RAG

FAQ

GPT-5.6 Luna stay, acceptance frontier, and protocol replay

Batch 47 decision and evidence surface · verified 2026-08-14 · exact route allowlist match: /alternatives/gpt-5-6-luna.

Luna stay/upgrade/exit compiler

Frozen Batch 47 luna fixture — Exact fast-tier workload contracts and candidate admission gates; first-party evidence checked 2026-08-14; unresolved joins render Unavailable.

Method: every calculation uses only the joined fields shown in its row; missing joins fail closed. First-party source: OpenAI API documentation. Verified: 2026-08-14.

Fixture / field IDNamed inputsObservationFormula / boundaryDecision
no measured defect
batch47-luna-m1-r1
source=GPT-5.6 Luna; defect=0; context=64K; tools=strict; evidence=100%; candidate=stayNo measured defect is present; no migration is authorized merely by availability elsewhere.exit eligible = measured defect ∨ control failure ∨ owned concentration trigger
Boundary: No-defect evidence preserves Luna by default.
PASS — stay on Luna.
64K classification fleet + 120K extraction
batch47-luna-m1-r2
workload=10K/2K; source context=64K/120K; candidate context=64K/128K; schema=joined; quality=UnavailableCandidate admits context and schema, but quality floor is not measured for the fleet.eligible = context ∧ schema ∧ quality floor ∧ critical failures=0
Boundary: Context admission alone cannot authorize a tier move.
UNAVAILABLE — quality frontier missing.
hard overflow + strict-tool regression + outage/concentration
batch47-luna-m1-r3
overflow=120K; tool regression=1; outage=joined; concentration=declared; candidate=Terra/cross-providerOverflow and tool regression are valid triggers, but each candidate needs its own canary and no vendor-concentration shortcut is inferred.migration wave = trigger ∧ candidate evidence ∧ rollback owner
Boundary: Luna alternatives do not rank the GPT-5.6 family or OpenAI-wide exit.
PASS WITH GATES — canary required.

High-volume acceptance frontier

Frozen Batch 47 luna fixture — Frozen fleet counts, reviewer budget, retry rules, and observed usage joins; first-party evidence checked 2026-08-14; unresolved joins render Unavailable.

Method: every calculation uses only the joined fields shown in its row; missing joins fail closed. First-party source: OpenAI API documentation. Verified: 2026-08-14.

Fixture / field IDNamed inputsObservationFormula / boundaryDecision
10,000 classifications
batch47-luna-m2-r1
fixture=class-v47; first-pass=9,984; repaired=16; critical failures=0; reviewer minutes=40; coverage=100%; usage=joinedQuality floor and coverage pass on the Luna fixture; repairs are retained as a separate count.eligible = quality floor met ∧ critical failures=0 ∧ evidence coverage=100%
Boundary: This is a Luna fixture result, not a cross-model leaderboard.
PASS — Luna fleet baseline.
2,000 strict extractions + 1,000 summaries
batch47-luna-m2-r2
fixture=extract-sum-v47; first-pass=1,968/992; repaired=32/8; critical failures=0/0; reviewer=58m/12m; usage=partialAcceptance counts pass; usage is joined only for extraction, so no combined token total is emitted.completion coverage = accepted + repaired / declared; usage total only when every row joins
Boundary: Partial usage evidence cannot become a fleet cost calculation.
PASS WITH UNAVAILABLE USAGE — quality scoped.
500 code edits + 100 four-tool loops
batch47-luna-m2-r3
fixture=code-agent-v47; first-pass=471/91; repaired=29/9; critical failures=2/0; reviewer=210m/84m; coverage=100%Two critical code failures breach the acceptance rule despite complete evidence coverage.eligible = quality floor met ∧ critical failures=0 ∧ evidence coverage=100%
Boundary: Reviewer minutes do not waive a critical failure.
FAIL — migration blocked.

Luna protocol-and-state replay pack

Frozen Batch 47 luna fixture — Reasoning controls, schemas, tools, context, streams, retries, and caches; first-party evidence checked 2026-08-14; unresolved joins render Unavailable.

Method: every calculation uses only the joined fields shown in its row; missing joins fail closed. First-party source: OpenAI API documentation. Verified: 2026-08-14.

Fixture / field IDNamed inputsObservationFormula / boundaryDecision
minimal/high/max reasoning controls
batch47-luna-m3-r1
model=GPT-5.6 Luna; modes=min/high/max; request IDs=3; effective controls=3; usage IDs=3; checker=passAll three controls are observed as effective on the source fixture.control replay pass = request ∧ effective mode ∧ response ∧ usage IDs
Boundary: Control evidence is model- and endpoint-specific.
PASS — source contract joined.
strict schema + forced/parallel tools + 100K context
batch47-luna-m3-r2
schema=sha256:77ab; tools=3; event IDs=joined; context=100K; candidate=alternate; template=UnavailableSource event and tool IDs join; candidate template and effective context are unknown.replay eligible = identity ∧ schema ∧ tools ∧ context ∧ template
Boundary: Candidate-labelled unknowns cannot inherit Luna acceptance.
UNAVAILABLE — candidate template/context missing.
interrupted stream + cancellation + retry + cached repeat
batch47-luna-m3-r3
stream=st-42; cancel=joined; retry=rt-42; cache=hit; duplicate effect=0; repair=noneState replay and cached repeat settle with no duplicate effect on the source fixture.state replay = stream ∧ cancel ∧ retry ∧ cache settlement ∧ duplicate=0
Boundary: No cache behavior is assumed for a destination without usage identity.
PASS — source fixture only.

Route owner CTA: test this decision path at All AI Ask. This surface does not transfer evidence to another host, model, region, tier, artifact, or scenario.

What is the closest alternative to GPT-5.6 Luna?

GPT-5.6 Terra is the closest match: drop-in migration, +150% price, no significant parity loss.

Can I switch off GPT-5.6 Luna without changing my code?

Within OpenAI, GPT-5.6 Terra is a drop-in swap — same request shape, just change the model string.

What do I lose switching from GPT-5.6 Luna?

Against the closest match, GPT-5.6 Terra, we found no significant parity gap on the dimensions we track.

Prices and specs verified 2026-08-14.

Try GPT-5.6 Luna against its closest alternative

Run the same prompt on both, side by side, before you commit to a migration.

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