Claude Haiku 5.5 vs Xiaomi MiMo-V2.6-Flash: When the Rate Card and the Measured Bill Disagree

Take the two rate cards at face value and Claude Haiku 5.5 versus X​iaomi MiMo-V2.6-Flash looks like a rout for the X​iaomi model: $0.14 and $0.28 per million tokens against $0.10 and $0.50, a 1.8x edge on output on a flat rate rather than one that steps up past 100,000 tokens. Then look at what the independent task runs actually cost and the ordering flips — MiMo-V2.6-Flash comes in at $0.06231 to finish a task the Haiku finishes for $0.2128, and yet the Haiku scores fifteen percent higher on the same board and finishes the task in a third of the wall-clock time. None of those four statements is wrong; they are measuring different things. This piece is about which of them predicts your bill, and where each one stops being useful.

The two rate cards

Start with the numbers each vendor publishes, because they are the ones that get compared and they are mostly not the ones that matter:

• Price — Claude Haiku 5.5 $0.10 / $0.50 per million under 100K tokens, $0.50 / $2.50 over (A​nthropic list); X​iaomi MiMo-V2.6-Flash $0.14 / $0.28 flat (vendor list)

• Context window — 1,000,000 tokens for Claude Haiku 5.5, 1,000,000 for MiMo-V2.6-Flash, both vendor-published

• Max output — 128,000 tokens on the Haiku (300,000 on Batch); not advertised as a separate ceiling for MiMo-V2.6-Flash

• Architecture — undisclosed for the Haiku; 309B total parameters with 15B active, Mixture-of-Experts, for MiMo-V2.6-Flash (vendor-published)

• Licence — closed and API-only for the Haiku; MIT for MiMo-V2.6-Flash (vendor-published)

• Independent index — 43.395 for Claude Haiku 5.5 against 37.884 for MiMo-V2.6-Flash (Artificial Analysis)

Three of those lines decide most real purchases and they point in three different directions. On output price the X​iaomi model is cheaper — $0.28 against $0.50 at short context. On input price the Haiku is cheaper below 100,000 tokens and much more expensive above. On the context window the X​iaomi model claims twice the room. Only one of those three — the last — is a capability claim at all, and the Haiku's flat-rate step at 100,000 tokens means the price comparison has a seam in it that a single pair of numbers hides.

The measured bill

Rate cards price tokens. Work costs money. Artificial Analysis runs both models through the same task suite and publishes what it actually cost to get each task done, which is a different quantity from the per-token price and frequently a different ranking:

• Cost per task — MiMo-V2.6-Flash $0.06231 vs Claude Haiku 5.5 $0.2128

• Output tokens per task — MiMo-V2.6-Flash 77,792 vs Claude Haiku 5.5 162,164

• Wall-clock per task — MiMo-V2.6-Flash 1,320.08 s vs Claude Haiku 5.5 426.26 s

• Intelligence Index — Claude Haiku 5.5 43.395 vs MiMo-V2.6-Flash 37.884

• Terminal-Bench Hard — Claude Haiku 5.5 0.329 vs MiMo-V2.6-Flash 0.227

All five figures are Artificial Analysis', taken from the board's own model pages in early October 2026, and they are the numbers to use when a decision has to survive someone checking it.

The cost-per-task gap is bigger than the rate card suggests, and the reason is the second line. Claude Haiku 5.5 spends 162,164 output tokens delivering a task that MiMo-V2.6-Flash completes in 77,792 — roughly 2.1 times as many tokens, largely because it reasons at length by default. A model that is 1.8x cheaper per output token and emits less than half as many of them per task does not end up 1.8x cheaper; it ends up the better part of an order of magnitude cheaper on this particular suite. That is the single most important thing on this page, and no rate card anywhere publishes it.

The wall-clock line runs the other way and is worth being honest about. MiMo-V2.6-Flash took 1,320 seconds per task against the Haiku's 426 — three times as long, despite a higher measured output speed of 56.69 tokens per second, because the Haiku's reasoning is not the bottleneck on this suite in the way the raw token rate would predict. If a workload is latency-bound rather than cost-bound, the cheap model is not automatically the right one, and the independent board is the only place either of these numbers exists.

Where the fifteen points actually live

43.395 against 37.884 is a fifteen percent gap on the Intelligence Index, and it is the strongest argument for the Haiku in this matchup. Whether it matters depends entirely on the task. On Terminal-Bench Hard the two are 0.329 and 0.227 — a wider relative gap, and one that sits on the agentic, multi-step side of the board where a fifteen percent index difference tends to compound into a much larger difference in task completion. On the general reasoning and knowledge sub-benchmarks the two are closer than the headline index implies, and MiMo-V2.6-Flash is ahead on several of them.

The practical reading: at the bottom of the difficulty curve, the two models are interchangeable and the cost difference should decide. At the top — long-horizon agents, codebases, anything where a failed task has to be re-run — the Haiku's fifteen points are the difference between a task that finishes and a task that costs the same money twice, and the cheap model's cost-per-task advantage can invert in a way the board's average cannot show you. This is the case where you have to run your own eval rather than read someone else's index, because no published average resolves it.

What the MIT licence is worth

MiMo-V2.6-Flash ships under MIT — the least restrictive of the open licences, with no commercial-use ceiling and no share-alike clause. That is a stronger grant than the Q​wen Community Licence and it means the 309B/15B MoE weights can be self-hosted, fine-tuned and redistributed by anyone who wants to. For a team whose constraint is that inference happens on its own hardware, or whose volume is high enough that owning GPUs beats renting tokens, this is not a footnote — it is the only line in the comparison that matters, because Claude Haiku 5.5 cannot be run by you at all.

It changes the failure profile too. A closed model served by one vendor and that vendor's cloud partners goes down when they do; an MIT-licensed model with several independent hosts can be failed over between them, provided something is doing the failing over. Neither of these is a reason to pick MiMo-V2.6-Flash for a team that wants an API and nothing else. Both are decisive for a team that does not.

Vendor claims worth checking yourself

The MiMo line is X​iaomi's, and X​iaomi reports its own speed and quality figures in the launch material. Those are vendor numbers, unreproduced at the time of writing, and the independent board currently measures the model below where the vendor's framing would place it — 37.884 on the index, and 0.227 on Terminal-Bench Hard against 0.329 for the Haiku. That is not an accusation of anything; it is the normal gap between a vendor's own harness and a third party's, and it is the reason to label which is which every time a figure gets repeated.

The check that is worth doing on your own traffic costs one afternoon and settles the question better than any index. Run the same twenty tasks through both models with your own prompts, log the input tokens, output tokens and wall-clock per task for each, and multiply by the rates above. The four numbers that decide it are all things you can measure: tokens in, tokens out, seconds, and whether the task succeeded. The cost-per-task figure on the independent board is the picture for a generic suite; yours will differ, and the difference between the two is usually the verbosity, which is exactly the thing the rate card hides. If the Haiku's reasoning-by-default is buying you task completions you would otherwise pay to retry, it is cheap at 3.4x the per-task price. If it is not, you are paying for tokens that did not change the answer.

Getting both through one endpoint

Neither Claude Haiku 5.5 nor X​iaomi MiMo-V2.6-Flash is served by OrcaRouter — for those, the vendor's own API and several third-party platforms are where to get them. What we do run is the surrounding cast: qwen/qwen3.8-flash at $0.15 and $0.47 per million and z-ai/glm-5.3-flash at $0.15 and $0.50, both at the vendor's list price, on the same key and the same bill as a 200-plus model catalogue with pass-through pricing and automatic failover.

That matters for this matchup in a specific way: when the two models you are choosing between are the ones you cannot route, the tiebreaker is usually decided by running them side by side on real traffic — which means keeping them available alongside the models you do route, without a second contract or a second SDK for either. Put the candidate on the production path with a working model behind it as the fallback, let the request go to whichever the routing layer picks, and let your own token logs produce the cost-per-task number that the rate cards refused to give you. The independent board's suite is a proxy; your workload is the measurement.

The call

If the workload is high-volume, short-output, and tolerant of occasional retries, X​iaomi MiMo-V2.6-Flash is the cheaper model by a wider margin than its rate card advertises — $0.06231 per task against $0.2128 — and the MIT licence gives you an exit hatch the Haiku does not have. If the workload is long-horizon and agentic, Claude Haiku 5.5's fifteen index points and three-times-faster task completion are worth the multiple, and the cost gap narrows or reverses once retries are counted.

The one thing not to do is choose on the rate card alone. Two models here are priced within a factor of two per token and land an order of magnitude apart per finished task, and only one of those numbers is on the page the vendor shows you.

a 200-plus model catalogue